Job Requirements Job Requirements Job Title - Deputy Manager-Acquisition(Household) Place of work - Pan - India Business Unit - Retail Banking Function -Branch Banking Job Purpose The role entails direct customer interaction and is responsible for business acquisition of savings accounts for a designated branch. It will also entail explaining and selling banking products to customers and acting as a link between customers and bank - ensuring best in-class service to the customers. The role bearer has a responsibility to support Sales Manager in catchment mapping, customer feedback and identifying and converting potential opportunities. The role bearer is responsible for driving client acquisition, deepening customer relationships and capitalizing on lifetime value in each relationship to achieve larger organizational goals. Roles & Responsibilities Key / Primary Responsibilities of the Role - List the primary deliverables Acquisition of NTB Savings account customers in the identified segment and reference generation from the specified catchment area Ensure acquisition of high quality savings accounts in terms of product mix, segments and constitution mix Proactive registration and activation of acquired customers to direct banking channels Meet and exceed the defined targets of new customer acquisitions month on month by analysing transaction banking needs of the customer Assist and support the Sales Manager in catchment mapping and scoping exercise Provide regular feedback to SM / RM on opportunities and customer needs Ensure adherence to selling norms and SOPs defined by the organization Ensure strict compliance with internal guidelines and external regulations Ensure quality sourcing in line with the Bank's policy Secondary Responsibilities - List the deliverables other than primary, but essential for the role High degree of market awareness and understanding of customer's needs Collaborate with other branch departments and functions to provide products and service offerings to the customer to ensure customer centricity Qualifications Graduate - Any discipline Part Time / Full Time - Full Time Experience Minimum Number of Years - 0-4 years Industry – BFSI Functional Area – Sales Level / Capacity - Junior Management Show more Show less

Description About the team: IN account management team manages some of the most influential sellers on the Amazon.in marketplace with a clear focus on their business growth. Centre of Excellence (CoE) team, within Account Management function, focuses on identifying areas for improvement and develop strategies to elevate seller experience. It provides guidance, support and increases efficiency of account managers through process standardization/excellence and automation. In this role, you would focus on managed set of sellers. Core responsibility would be to identify inefficiencies in processes, develop strategy and implement process enhancements. This is a high visibility role in the account management team that is looking for a Senior Program Manager with a strong delivery record and proven program management experience. This candidate will work cross-functionally to deliver operational improvements and drive process efficiency. This role requires performing dive deeps to ambiguous problems, identifying and scoping large programs, managing program timelines, and communicating to senior management on status, risks, and process/product changes. Cross-team coordination, program management and executive presentation skills are essential. Key job responsibilities Develop comprehensive strategy for providing best-in-class experience and advisory to our top cohort of sellers Collaborate with cross-functional teams to deliver on aligned goals Lead the end-to-end execution of strategy, ensuring seamless coordination between multiple teams. Utilize data analytics to assess the performance and identify areas for improvement Conduct meetings/reviews to keep BAU activities on track Key job responsibilities Drive cross-functional strategic initiatives to continuously improve processes and seller experience Performing dive deeps into the multiple elements that govern the decision making to launch or expand programs. Working closely with the central program teams and operation stakeholders, understanding their strategies and processes Working closely with product teams to see through the product interventions needed for the program to scale Working closely with operations, finance and category teams to manage short term commitments to overall goals, and making sure they stay on track. Benchmarking programs/practices with the best in class (internal and external), and using it to own and influence the long-term vision. Innovating to improve customer experience, and relentlessly working towards contributing to the seller success. Basic Qualifications 5+ years of working cross functionally with tech and non-tech teams experience 5+ years of program or project management experience 5+ years of delivering cross functional projects experience Experience defining program requirements and using data and metrics to determine improvements Preferred Qualifications 2+ years of driving process improvements experience Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ASSPL - Karnataka - B56 Job ID: A2993823 Show more Show less

About Us Bain & Company is a global management consulting firm that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who You’ll Work With /BCN Customer COE, as part of Bain’s expert client delivery network, has the vision to lend expertise, speed and competitiveness to Bain’s Pricing, Commercial excellence, Marketing & Customer Experience projects through co-developing and delivering Pricing products, designing Go-to-Market Strategy Solutions and Improve customer experience effectively through client-specific analysis/solutions. In the CoE, we develop products and deliver solutions that help clients identify and fulfil full potential across the entire value chain of sales and customer journey. Also capturing value across – from problem identification, solution designing, and implementation, to capability transfer. /The CoE has fast-paced, dynamic environment with continuous innovation and learning. We offer multitude of professional development opportunities for those who like to problem-solve in an analytical environment. This role will sit within Bain’s Commercial Excellence (CE) teams. BCN CE Teams, as part of Bain’s expert client delivery network, has the vision to lend expertise, speed, and competitiveness to Bain’s Commercial Excellence projects through co-developing and deploying repeatable products, supporting Bain leadership with commercialization of these products, and delivering Go-to-market analyses on projects. What You’ll Do We are hyper-focused on developing and deploying solutions that help clients accelerate growth sustainably through their go-to-market engine and help them reach full potential growth – from market opportunity identification to coverage planning, pricing, account cadence to optimization of sales and marketing functions, among other levers. / This is an opportunity to drive the development and deployment of our suite of cutting-edge solutions that help clients realize untapped value in their existing go-to-market engine within days and weeks, supported by analysis of client data and benchmarks and define the roadmap for the next ~12-18 months of work for the client and the Bain case teams. / Sales and Marketing Transformation Project Leader (PL) is the lead on a BCN case and leads a team of 3-4 associates and analysts to develop and deploy solutions on projects end-to-end – from ideation to delivery and presentation, leading discussions with key internal and client stakeholders including Bain Partners, Directors, and Case teams. Usually, a PL is staffed 100% on a project and works under the guidance of the COE Senior Manager/ Manager, playing a key role in output delivery and client communication / Day to day work planning and team management. Take responsibility for scoping and delegating work streams; monitor and balance workloads within the team / Ensure timely, high quality, error-free analysis and output produced by the team / Bring strong problem-solving skills clubbed with specialized knowledge of various analytical tools and best practices to deploy them / Leads key client delivery and analyses across GTM levers, from solution ideation, development and development, as needed / Provide thought leadership and sound business judgment to drive the team’s overall output across every stage (from data gathering to final presentation) / Brainstorm with the BCN Manager/Sr. Manager and Bain consulting/ specialist team on various aspects of a client project or new IP development / Drive conversations through analytics to help drive insights through data analysis and story-lining the deliverable to prove/disprove hypotheses in the best interest of the client/project. / Understand client/project needs and situations and help team adapt to project expectations and evolving needs / Work with Manager for effective working cadence, communication, and expectation management with various project stakeholders (such as Bain case teams, practice consultants, and experts) / Consistently provide responsible feedback, coaching and mentoring to analysts and associates working with them to address their professional development needs. Also conduct performance discussions, writing reviews for appraisal (as required) / Contribute to the internal development of our practice through participation in areas such as business development, training, methodology and toolkit development, and recruiting About You /Graduate (5-8 years) / Post-Graduate (3-6 years) (preferably with degree in engineering / science / commerce / business / economics)strongacademic records /5+ years of total relevant work experience across industries and sectors, with 2+ of those years as part of a consulting setup (mandatory) with exposure to B2B businesses (preferable) /1+ year experience in leading team/ teams /Proficiency in MS-Office - Intermediate/Advanced MS-Excel, MS-PowerPoint and MS-Word /Prior experience in analytical tools like Alteryx, Tableau, Power BI and other similar tools is good to have /Prior experience with Go-to-market strategy, sales strategy and execution good to have /Possess excellent analytic and communication skills, and should have experience working in a team environment with ability to handle multiple tasks /Able to drive thought leadership with limited guidance and brainstorm with team, leaders, partners and clients tocome up withcreative new solutions to complex problems What Makes Us a Great Place To Work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.. Show more Show less

The Security Engineer II, InfoSec will play a critical role in ensuring the security and integrity of our technology infrastructure. The ideal candidate will have a strong background in information security, technology engineering, and application engineering, with a focus on identifying and mitigating vulnerabilities. The role will operate in Hybrid mode from Mumbai office in 4:30pm – 1:30am shift. Key Responsibilities The day-to-day responsibilities include but are not limited to: Work with information security engineering to ensure all security tools are deployed. Engage with infrastructure and fellow security teams to ensure security best practices. Educate and promote secure software development lifecycle. Assess current technology architecture for vulnerabilities, weaknesses, and possible upgrades or improvements. Assist security architects with their task on the backend Complete scoping assignments. Travel as needed in support of the Information Security program. Manage and advise technical teams on the creation of supporting artifacts for penetration testing. Conduct security vendor reviews of SaaS & Cloud platforms. Distribute vulnerability ticket findings to stakeholders for remediation. Identify discrepancies in asset inventory reports. Research and stay up to date on emerging vulnerabilities and threats. Review and track false positive requests. Work with Infrastructure, Application, and Network teams to remediate findings. Fundamental and working understanding of cloud concepts. Requirements Minimum 2-3 years of experience in Information Security related positions. Minimum 2-4 years of experience in technology engineering or application engineering roles. Good English written and verbal communication skills. Strong research skills. Strong project management skills. Ability to plan and complete tasks with minimal oversight. Ability to multi-task and prioritize tasks across a range of projects, adjusting to shifting priorities. Excellent time management and organization skills. Strong personal integrity. Demonstrate commitment to obtaining outstanding results. About Kroll In a world of disruption and increasingly complex business challenges, our professionals bring truth into focus with the Kroll Lens. Our sharp analytical skills, paired with the latest technology, allow us to give our clients clarity - not just answers - in all areas of business. We value the diverse backgrounds and perspectives that enable us to think globally. As part of One team, One Kroll, you’ll contribute to a supportive and collaborative work environment that empowers you to excel. Kroll is the premier global valuation and corporate finance advisor with expertise in complex valuation, disputes and investigations, M&A, restructuring, and compliance and regulatory consulting. Our professionals balance analytical skills, deep market insight and independence to help our clients make sound decisions. As an organization, we think globally—and encourage our people to do the same. Kroll is committed to equal opportunity and diversity, and recruits people based on merit. In order to be considered for a position, you must formally apply via careers.kroll.com Show more Show less

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Managing Consultant, Strategy & Transformation Managing Consultant – Strategy & Transformation Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Strategy & Transformation consultants lead clients through impactful decision-making as they tackle strategic, tactical, operational, and transformational business challenges. They apply a broad set of problem-solving techniques to improve the client’s overall strategy, performance, and operations. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Lead client engagements across a range of industries and problem statements Develop strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members’ roles and skills Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital Provide on-the-job training, coaching, and mentorship to junior consultants Qualifications Basic qualifications Undergraduate degree with work experience in consulting, corporate strategy, business intelligence, business line management, or product management Experience coaching and managing teams across multiple consulting engagements that involve structured problem solving and stakeholder management Experience managing key client relationships Knowledge of business KPIs, financials, and organizational leadership Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities Logical, structured thinking, and affinity for numerical analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Experience generating new knowledge or creating innovative solutions for a firm Relevant industry expertise MBA or master’s degree with relevant specialization (not required Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-246728 Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What you’ll be doing... Voice portal is a customer facing IVR application that provides self-service experience to the customer for billing/payment or tech support or order and also routes the call to appropriate agent based on the skill/intent. Authoring, designing & testing Voice applications using conversational bot solutions such as Google Dialog Flow (Google CCAI) or any equivalent AI models along with Microservices. You will help modernizing Contact Center application experiences into conversational AI and involve in Functional Testing of major business programs for consumer. You’ll deliver projects that can perform complex analyses using emerging technologies such as Microservices, GCP and Google CCAI - Dialog Flow Platform Delivering across the entire app life cycle – concept, design, build, deploy, test, release and support. Working on IVR development with Google CCAI – Dialog Flow, Avaya OD with tighter microservice architecture & GCP CF & AWS Lambdas integration and strong experience in Inbound IVR applications. Participating in the Agile Teams for the applications that the candidate would be working on. Act independently, at the same time display excellent collaboration within and between various teams. Being accountable for the work allotted and stick to LOE provided. Track and develop tasks on time with no compromise to quality and keeping productivity of the team. Following Impact analysis and risk analysis processes in case of change requests. Ensuring performance of the code developed as an ongoing basis and use the right tools for the same. Working closely with team to develop detailed specification documents with clear project deliverables and timelines, and to ensure timely completion of deliverables. Collaborating with other team members and stakeholders. Keeping up to date on the latest industry trends in the web & voice technologies. Building prototypes at tech scoping stage of projects. Ensuring security validations during design, coding & Validation. Where you'll be working... In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. You’ll Need To Have Bachelor's degree or one or more years of work experience. One or more years of relevant work experience. One or more years of Google CCAI – Dialog Flow Platform experience. One or more years of Microservice Development & Integration experience using Spring Boot, Spring React. Two or more years of experience in Google Cloud Platform – Cloud Functions. Basic understanding of Contact Center domain Even better if you have one or more of the following: Knowledge on any conversational platforms to emerging experiences like Alexa, Google assistant, Bixby and Cortana. Ability to debug and understand issues thru Looker Platform, Kibana Logs and Grafana visualizations If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

Job Description Qualitative Research Lead India Mumbai/ Delhi/ Bangalore, India Full-time Company Description Job Description Role Purpose: This is a strategic leadership position. Primary responsibility is to lead and grow the NIQ Qualitative business Nationally. The candidate will be responsible for driving profitable growth, including the full P&L of the business , Representing VOC and creating awareness of all your portfolio internally and externally . You will lead the India Qualitative business and team of Qualitative researchers, work closely with the various Business Vertical leaders and set a strategy that focuses on account acquisition retention and growth This role is also accountable for accurately managing an active sales pipeline and coaching the specialty seller team to better results by leveraging multiple sales drivers such as prospecting, campaigns, and other account engagement tools. Working closely with business partners across verticals to understand client challenges and ensuring strong awareness and presence of Qual with these clients Core Responsibilities Own Qualitative Research revenue and cost OP, driving long term profitable growth. Develop and execute the Qualitative Strategy to grow share. Developing a clear blueprint on where to play and how to play and how to win Introduce new solutions and thought leadership pieces to the team – Develop and drive continuous though leadership agenda and participate in external forums Craft India client engagement plans alongside the Vertical leaders and Business partners for target client activation at local India level Develop sales plans and strategies accordingly to achieve sales goals in collaboration with each Vertical leader. Articulating it clearly with the Vertical business partners on opportunities for new client penetration , cross sales and upgrades leveraging the practices - Bring to Life the Go to Market plan – review , adjust with vertical leaders as well partnering with Regional Qualitative Practice Ensuring that your team of Qual researchers have a clear blue print of which accounts to focus and alignment with business partners Serve as senior leader on Local RFP engagements working across SA&I and NielsenIQ for a unified response and representing the Qualitative research requirements Develop KPI for the teams that focuses not just on NBD but also on client retention, win back, and larger share of continuous business Manage sales team pipeline and assist in closing deals through strategic intervention. Set quarterly and annual sales quotas. Provide detailed sales forecasting on a monthly basis Own client-level annual operational (OP) planning inputs with the team at the account/geo level Create sales reports and provide feedback to SA&I India leader Drive sales maintaining a long-term perspective to maximize overall revenue generation while being able to generate short term results. Ensure the team is scoping projects responsibly that meet SAI profitability guidelines Partner closely with Customer Success Teams and vertical leaders to align on goals and strategy and drive shared accountability for revenue targets. Implement annual pricing increases and influence price-setting for new services. Lead and Advise on RFPs as necessary Ensure NIQ GDF / SDF fund usage where applicable Be a NIQ relationship driver. Liaise with local NIQ sales leaders on joint business planning, regional commercial efforts, and SAI product pushes Voice of client Maintain & develop the commercial relationship to clients Monitor the market and competitor products and activities and feed the same to India lead as well as regional Qual leader Review customer activity and anticipate prospecting needs. Establish and maintain senior level key prospect/client relationships Provide input for product development and prioritizations based on client feedback, RFPs requirements, competition analysis and market trends. Collaborate Practice leaders as well as Regional Vertical leader to capture needs and get early feedback on our mid / long term product roadmaps. Product positioning and awareness Clearly and convincingly articulate Qualitative offerings and unique value proposition, matching them with relevant client business challenges/KPIs. Where necessary adapt Regional Qual sales framework to India, linked to use cases relevant to specific target buyer personas and Verticals Adopt and adjust Regionally built buyer personas profile and objection handling playbook to India market needs. Generate buyer personas database by verticals and help activate the same with GTM plan along with the Vertical Leaders Facilitate the creation of client case studies to support product positioning. Lead or support T2T client meetings concerning Qual Maintain broader Qualitative product/technical knowledge across all SAI tools. Participate in regional boot camps. Plan and Initiate local Bootcamps to train the Business partners People management Recruit and hire Qual Research staff as the case may be Motivate the teams to achieve their goals. Mentoring and guiding on winning techniques using your experience Setting their targets and goals and guiding them on how to meet and exceed their KPI Work with training team and peers to develop sales training content and protocols. Ensure internal processes are followed, including adherence to tracking customer and transactional information in CRM system and other sales and operational processes. Regular performance reviews with the team Qualifications Qualifications Expert in Qualitative Research techniques University degree in Marketing / Economics / Psychology / Sociology or related field a must. Preferred Postgraduate or MBA 15+ years working experience in Market Research - Strong understanding and appreciation of the various MR protocols such as concept testing, product testing, U&A, Segmentation, Profiling studies, BHT and so on Proven Leader of high performing teams Expertise in (application of) one of NielsenIQ solutions is a plus Strong analytical skills Proven sales acumen Skillsets Strong sense of urgency and accountability to drive client outcomes Proven experience in leading a team, managing people, and developing talent Experience in driving organizational transformation Able to work collaboratively with internal & external teams Capable to maintain positive client relationships in complex situations & resolve client issues Strong logic, deductive reasoning, problem-solving, and critical thinking skills Competent Negotiator with good influencing skills Skilled & polished communicator, including client presentations / events Strategic thinking and vison Understanding of dependencies across areas Strong project management skills and ability to manage multiple priorities High say-do ratio Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion Show more Show less

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients, and communities. Working at WPP means being part of a global network of more than 100,000 talented people dedicated to doing extraordinary work for our clients. We operate in over 100 countries, with corporate headquarters in New York, London and Singapore. WPP is a world leader in marketing services, with deep AI, data and technology capabilities, global presence and unrivalled creative talent. Our clients include many of the biggest companies and advertisers in the world, including approximately 300 of the Fortune Global 500. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. Why we're hiring: WPP is at the forefront of the marketing and advertising industry's largest transformation. Our Global CIO is leading a significant evolution of our Enterprise Technology capabilities, bringing together over 2,500 technology professionals into an integrated global team. This team will play a crucial role in enabling the ongoing transformation of our agencies and functions. GroupM is the world’s leading media investment company responsible for more than $63B in annual media investment through agencies Mindshare, MediaCom, Wavemaker, Essence and m/SIX, as well as the results-driven programmatic audience company, Xaxis and data and technology company Choreograph. GroupM’s portfolio includes Data & Technology, Investment and Services, all united in a vision to shape the next era of media where advertising works better for people. By leveraging all the benefits of scale, the company innovates, differentiates and generates sustained value for our clients wherever they do business. The GroupM IT team in WPP IT are the technology solutions partner for the GroupM group of agencies and are accountable for co-ordinating and assuring end-to-end change delivery, managing the GroupM IT technology life cycle and innovation pipeline. This role will work as part of the Business Platform Team for EMEA. You will be part of a new team Data team in Chennai, that will support our existing and future BI setup for EMEA markets. You will be responsible for delivering the solutions formulated by product owners and key stakeholders for different EMEA markets. In collaboration with the Data development team, you update the architecture and data models to new data needs and changes in source systems What you'll be doing: Design, develop, and maintain robust and scalable data pipelines using Google Cloud Platform services (such as Dataflow, Pub/Sub, and Cloud Composer) to extract, transform, and load data from various sources. Communicate technical concepts and benefits of GCP solutions to non-technical stakeholders, aiding them in understanding necessary changes for project goals. Monitor and optimize data processing and storage resources on GCP. Troubleshoot and resolve data pipeline issues and performance bottlenecks. Document data engineering processes, best practices, and technical specifications. Adhere to agile development practices – including evolutionary design, refactoring, continuous integration/delivery, and test-driven development. Collaborate with Business Partner Team and Stakeholders during project scoping and feasibility phases as a SME, identifying technical risks and proposing mitigations. Provide production support for data load jobs. Automate data workflows and create queries for periodic report generation. Collaborate with development teams to implement data manipulation queries ensuring alignment with business requirements. Maintain and upgrade existing applications as necessary. Participate in key design meetings and provide technical support. Perform additional tasks related to data migrations, cloud resource audits, and cross-functional support activities. What you'll need: Education: Combination of education/experience that would enable incumbent to meet fundamental duties and required competencies. Bachelor’s degree in computer science, Engineering, Mathematics or another technical field is highly preferred. Personality and Working Practice: Team player, with good communication skills, analytical thinking, attention to detail and the ability to think about the big picture. Required Experience and Knowledge: +5 years’ experience with GCP services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer and Cloud Function Understanding of GCP security best practices, including IAM roles and service accounts 1 or 2 + years of strong experience in Python development (object-oriented/Functional Programming, Pandas, Pyspark etc) Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (Terraform, Cloud Deployment Manager) Desirable Experience and Knowledge: Knowledge and some experience with DBT Experience with designing and implementing data pipelines using tools like Apache Beam, Apache Airflow, or similar Languages: Very good English skills, any other language is an addition. Who you are: You're open : We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic : We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected. You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day. What we'll give you: Passionate, inspired people – We aim to create a culture in which people can do extraordinary work. Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry. Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge? We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Please read our Privacy Notice (https://www.wpp.com/people/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide. Show more Show less

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Managing Consultant – Performance Analytics Managing Consultant – Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Lead client engagements across a range of industries and problem statements Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members’ roles and skills Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital Provide on-the-job training, coaching, and mentorship to junior consultants Qualifications 8-10 years of overall career experience post Masters/MBA or 10-12 years of experience post Graduation Excellent expertise on Performance Analytics, Python, PySpark & SQL Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience coaching and managing teams across multiple projects Experience managing key client relationships Knowledge of business KPIs, financials and organizational leadership Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS), building, managing, and maintaining database structures, working with data visualization tools (e.g., Tableau, Power BI) Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark Experience generating new knowledge or creating innovative solutions for a firm Relevant industry expertise Master’s degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. 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Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Managing Consultant, Strategy & Transformation Managing Consultant – Strategy & Transformation Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Strategy & Transformation consultants lead clients through impactful decision-making as they tackle strategic, tactical, operational, and transformational business challenges. They apply a broad set of problem-solving techniques to improve the client’s overall strategy, performance, and operations. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Lead client engagements across a range of industries and problem statements Develop strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members’ roles and skills Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital Provide on-the-job training, coaching, and mentorship to junior consultants Qualifications Basic qualifications Undergraduate degree with work experience in consulting, corporate strategy, business intelligence, business line management, or product management Experience coaching and managing teams across multiple consulting engagements that involve structured problem solving and stakeholder management Experience managing key client relationships Knowledge of business KPIs, financials, and organizational leadership Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities Logical, structured thinking, and affinity for numerical analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Experience generating new knowledge or creating innovative solutions for a firm Relevant industry expertise MBA or master’s degree with relevant specialization (not required Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-246728 Show more Show less

Responsibilities Successfully and independently deliver large-size projects, including scoping, planning, design, development, testing, rollout and maintenance. Write clean, concise, modular and well-tested code. Review code from junior engineers and provide constant and constructive feedback. Contribute to building and maintaining documentation related to the team's projects. Create high quality, loosely coupled, reliable and extensible technical designs. Actively understand trade-offs between different designs and apply the solution suited to the situation / requirements. Participate in the team's on-call rotation and lead the troubleshooting and resolution process of any issues related to the services/ work sub-streams/ products owned by your team. Constantly improve the health and quality of the services / code they work on, through set practices and new initiatives. Lead the cross-team collaborations for the projects they work on. Support hiring and on-boarding activities along with coaching and developing junior members in your team, and contribute to knowledge sharing. Must Have Qualifications and Experience: 4-6 years of hands-on experience in designing, developing, testing, and deploying small to mid-scale applications in any language or stack. 2+ years of recent and active software development experience. Good understanding of Golang. Able to use Go concurrency patterns and contribute to building reusable Go components. Strong experience in designing loosely coupled, reliable and extensible distributed services. Great understanding of clean architecture, S.O.L.I.D principles, and event-driven architecture. Experience with message broker services like SQS, Kafka, etc. Strong data modeling experience in Relational databases. Strong cross-team collaboration and communication skills. Self-driven with a passion for learning new things quickly, solving challenging problems, and the drive to get better with the support from the manager. Nice To Have A bachelor degree in computer science, information technology, or equivalent education. Experience with NoSQL databases. Show more Show less

Ever wondered how it would be to revolutionise one of the least digitised industries in the market, alongside a growing and switched-on team? Read on! ___________________________________________________________________________________ We are Shape.Construction ! We are digitising the largest and most fundamental industry in the world, the industry that literally builds the foundations of the civilisation we all depend on to spare us from a brutal hunter-gatherer life: CONSTRUCTION It is one of the least digitised industries in the world but also the largest – 1 in 9 people globally work in the construction industry and it constitutes 11% of global GDP. Improving construction strengthens the very foundation of human civilisation. ( Watch our short film about it). We got our start as a high-end construction project management consultancy. As a consultancy, we are focused on genuinely upgrading the way construction projects are delivered. We then take the deep understanding of the projects we work on to develop construction management software products that anyone can use to deliver their projects better. We are building a full suite of products one module at a time – kind of like office 365 but for construction management. ( Check out Shape, our construction management tech and watch this video about what we are doing ) The core of all this is our true secret sauce; people. We only recruit the very best both in capability and personality. We are deeply focused on designing a new type of organisation that is optimised for the flourishing of the people in the team first and foremost. People that join us develop fast as a whole person in ways they never imagined. ( Read more about our vision and mission ). This approach has allowed us to grow from just 2 people in 2017 to over 200 today (including consultancy) and we are still very much at the beginning! Joining us isn’t just some “job”, it is a transformative educational experience. We challenge you to be your best self in all aspects of life. Our vision is designed to align how we operate with the fundamental aspects that enable anyone to have a fulfilled life: Connects us with meaningful relationships Inspires us to develop ourselves to become better humans Empowers us to pursue our own learning adventures 4 core values for a good life We believe a life of human flourishing is all about meaningful relationships with others and challenging yourself to create a positive impact. Our four core values are grow yourself, care about people, execute to greatness and build civilisation. This philosophy goes much deeper and you can see more on our website. We are achieving this vision through the following two missions: To fully digitise the construction of human civilisation To create a new type of organisation that enables human flourishing while delivering a huge positive impact on society Laminar Projects is proud to be recognized as one of the UK’s Best Workplaces in Construction, Engineering & Property™ for 2024! Join a team where learning, collaboration, and growth are at the core of everything we do, and where solving big challenges is part of the fun. ___________________________________________________________________________________ The Role Purpose of the role We seek a self-sufficient Lead MLOps Engineer with a deep understanding and hands-on experience in deploying Large Language Models (LLMs) into production. This role requires an individual who can independently handle the complexities of LLMs, from fine-tuning to integration with existing systems, while closely collaborating with the product and engineering teams to ensure seamless implementation and optimisation. Team Join a team of forward-thinking software engineers and product strategists. While you will be working autonomously on the deployment and management of LLMs, coordination with our Product Management and Site Reliability Engineering (SRE) teams will be essential for integrating these models into our broader platform. Your top 3 objectives Effective Deployment of LLMs: Successfully deploy LLMs into production, ensuring they align with our business needs and human values. Optimise LLM Performance: Apply techniques such as reinforcement learning, instruction fine-tuning, and model optimization to enhance the performance and reliability of LLMs. Integrate LLMs into Applications: Seamlessly integrate LLMs with external applications, enabling them to contribute effectively to our suite of products. Your Top 5 Responsibilities Collaborate Scope Definition: Engage with product team to define ML project use cases precisely, setting a clear direction for technical implementation. Lifecycle Management: Oversee the ML project lifecycle stages, including model selection, prompt engineering, fine-tuning, evaluation, and alignment with human feedback. Optimize and Deploy for Inference: Optimize LLMs for inference and deploy them into production, ensuring they meet the functional and performance criteria established during scoping. Enhance Applications with LLMs: Work within the software development team to tailor LLMs to our unique application requirements, ensuring that the models effectively power and enhance our products' functionality and user experience. Collaborate with the SRE Team: Work closely with the SRE team for the integration of LLMs into our cloud infrastructure, ensuring scalability and resilience. Your Capabilities As a Lead MLOps Engineer focused on LLMs, you combine deep technical expertise with a proactive approach to problem-solving. You are adept at working independently yet understand the importance of aligning your work with broader team objectives. You have experience as a hands-on leader and is ready to bootstrap and grow the AI team. As a candidate, you should have: Expertise in LLM Deployment: Extensive experience in deploying and managing Large Language Models, including all aspects of fine-tuning and integration. Technical Proficiency: Strong skills in machine learning frameworks, cloud computing, and interacting with external applications. Independent Problem-Solver: Ability to tackle challenges autonomously, applying innovative solutions to complex problems. Continuous Learner: Commitment to staying abreast of the latest developments in LLMs and MLOps. Nice to Have (If you don’t have it now you will after joining) Advance Model Optimization Skills: Knowledge of advance model fine-tuning and optimization techniques. Collaborative Approach: While working autonomously, the ability to effectively coordinate with other teams, like SRE, for seamless integration. Community Engagement: Active participation in relevant tech communities to bring in new insights and best practices. Shape isn’t the place for you if any of the following is true: You want an easy, chilled-out role without much challenge You like to be the smartest person in the room You don’t like continuously receiving honest candid feedback You prefer to do your own thing rather than work with a team At Shape we value diverse experiences and perspectives, empowering each member to contribute their unique expertise towards our collective success, so if you don't think you meet all the criteria but still are excited about this role we encourage you to apply anyways! ___________________________________________________________________________________ Salary And Benefits Standard Stuff Competitive salary dependent on location and capability Paid Annual Leave 20 days + statutory Bank Holidays In-House Coaching Sessions Discretionary bonus scheme for all team members. The Life-Changing Stuff 4 Day Weeks : That’s right, 4 day weeks Flexibility: Getting things done is what really matters, not what time of day you do it. That means you don’t have to ask permission for things like picking up your kids or going to the doctor, just keep your team in the loop if you think they will be affected. Grow your whole self: Our leaders are more like coaches and one of our main objectives is to give 5 years’ worth of learning and development for every 1 year with us. You have a coach, mentor, well-being therapist and a development-orientated environment: That’s literally what our vision is all about and the primary reason Shape exists Be surrounded by the best: We only hire and retain the very best people. You might be used to being the smartest in the room but that won’t be the case in Shape. You will be surrounded by people you can learn from. We are 100% meritocratic so fast progression is the norm. You will be supported to excel in whichever areas you are most interested in! With Shape, development is unbounded Long-term impact: We are focused on solving the biggest issues in construction project delivery in a way that can spread and outlast us ________________________________________________________________________________________ Application We get thousands of applications so please write us a letter as part of your application explaining: Why do you want to join us? If you joined, where do you think you could make the most impact and how? We aren't a giant faceless corporation; we really care about the people who want to join our team so all applications will be read thoroughly by our key leaders. In terms of application, we usually start with an intro call to tell you what we are all about in a casual conversation. That helps you to know us a bit better and tell us a bit about yourself. Show more Show less

Job Description Qualitative Research Lead India Mumbai/ Delhi/ Bangalore, India Full-time Company Description Job Description Role Purpose: This is a strategic leadership position. Primary responsibility is to lead and grow the NIQ Qualitative business Nationally. The candidate will be responsible for driving profitable growth, including the full P&L of the business , Representing VOC and creating awareness of all your portfolio internally and externally . You will lead the India Qualitative business and team of Qualitative researchers, work closely with the various Business Vertical leaders and set a strategy that focuses on account acquisition retention and growth This role is also accountable for accurately managing an active sales pipeline and coaching the specialty seller team to better results by leveraging multiple sales drivers such as prospecting, campaigns, and other account engagement tools. Working closely with business partners across verticals to understand client challenges and ensuring strong awareness and presence of Qual with these clients Core Responsibilities Own Qualitative Research revenue and cost OP, driving long term profitable growth. Develop and execute the Qualitative Strategy to grow share. Developing a clear blueprint on where to play and how to play and how to win Introduce new solutions and thought leadership pieces to the team – Develop and drive continuous though leadership agenda and participate in external forums Craft India client engagement plans alongside the Vertical leaders and Business partners for target client activation at local India level Develop sales plans and strategies accordingly to achieve sales goals in collaboration with each Vertical leader. Articulating it clearly with the Vertical business partners on opportunities for new client penetration , cross sales and upgrades leveraging the practices - Bring to Life the Go to Market plan – review , adjust with vertical leaders as well partnering with Regional Qualitative Practice Ensuring that your team of Qual researchers have a clear blue print of which accounts to focus and alignment with business partners Serve as senior leader on Local RFP engagements working across SA&I and NielsenIQ for a unified response and representing the Qualitative research requirements Develop KPI for the teams that focuses not just on NBD but also on client retention, win back, and larger share of continuous business Manage sales team pipeline and assist in closing deals through strategic intervention. Set quarterly and annual sales quotas. Provide detailed sales forecasting on a monthly basis Own client-level annual operational (OP) planning inputs with the team at the account/geo level Create sales reports and provide feedback to SA&I India leader Drive sales maintaining a long-term perspective to maximize overall revenue generation while being able to generate short term results. Ensure the team is scoping projects responsibly that meet SAI profitability guidelines Partner closely with Customer Success Teams and vertical leaders to align on goals and strategy and drive shared accountability for revenue targets. Implement annual pricing increases and influence price-setting for new services. Lead and Advise on RFPs as necessary Ensure NIQ GDF / SDF fund usage where applicable Be a NIQ relationship driver. Liaise with local NIQ sales leaders on joint business planning, regional commercial efforts, and SAI product pushes Voice of client Maintain & develop the commercial relationship to clients Monitor the market and competitor products and activities and feed the same to India lead as well as regional Qual leader Review customer activity and anticipate prospecting needs. Establish and maintain senior level key prospect/client relationships Provide input for product development and prioritizations based on client feedback, RFPs requirements, competition analysis and market trends. Collaborate Practice leaders as well as Regional Vertical leader to capture needs and get early feedback on our mid / long term product roadmaps. Product positioning and awareness Clearly and convincingly articulate Qualitative offerings and unique value proposition, matching them with relevant client business challenges/KPIs. Where necessary adapt Regional Qual sales framework to India, linked to use cases relevant to specific target buyer personas and Verticals Adopt and adjust Regionally built buyer personas profile and objection handling playbook to India market needs. Generate buyer personas database by verticals and help activate the same with GTM plan along with the Vertical Leaders Facilitate the creation of client case studies to support product positioning. Lead or support T2T client meetings concerning Qual Maintain broader Qualitative product/technical knowledge across all SAI tools. Participate in regional boot camps. Plan and Initiate local Bootcamps to train the Business partners People management Recruit and hire Qual Research staff as the case may be Motivate the teams to achieve their goals. Mentoring and guiding on winning techniques using your experience Setting their targets and goals and guiding them on how to meet and exceed their KPI Work with training team and peers to develop sales training content and protocols. Ensure internal processes are followed, including adherence to tracking customer and transactional information in CRM system and other sales and operational processes. Regular performance reviews with the team Qualifications Qualifications Expert in Qualitative Research techniques University degree in Marketing / Economics / Psychology / Sociology or related field a must. Preferred Postgraduate or MBA 15+ years working experience in Market Research - Strong understanding and appreciation of the various MR protocols such as concept testing, product testing, U&A, Segmentation, Profiling studies, BHT and so on Proven Leader of high performing teams Expertise in (application of) one of NielsenIQ solutions is a plus Strong analytical skills Proven sales acumen Skillsets Strong sense of urgency and accountability to drive client outcomes Proven experience in leading a team, managing people, and developing talent Experience in driving organizational transformation Able to work collaboratively with internal & external teams Capable to maintain positive client relationships in complex situations & resolve client issues Strong logic, deductive reasoning, problem-solving, and critical thinking skills Competent Negotiator with good influencing skills Skilled & polished communicator, including client presentations / events Strategic thinking and vison Understanding of dependencies across areas Strong project management skills and ability to manage multiple priorities High say-do ratio Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion Show more Show less

Velotio Technologies is a product engineering company working with innovative startups and enterprises. We are a certified Great Place to Work® and recognised as one of the best companies to work for in India. We have provided full-stack product development for 110+ startups across the globe building products in the cloud-native, data engineering, B2B SaaS, IoT & Machine Learning space. Our team of 400+ elite software engineers solves hard technical problems while transforming customer ideas into successful products. We are hiring a Senior Business Analyst to build a payments orchestration solution for a fast-growing US based customer. This role will require knowledge of payment gateways, payment processing & payments integrations. The Senior Business Analyst will work closely with engineering, product, marketing, and other cross-functional teams to develop and refine our product strategy and roadmap. This role will provide you with the opportunity to examine how payments work across the globe and design cutting-edge experiences that will unlock new global payment volume for our customers. Responsibilities: Collaborate with team members and business stakeholders to assess value, technical dependencies, and feasibility of product ideas. Prioritize requirements to meet customer and business needs. Coordinate downstream releases so that current customers, prospects, and staff are aware of, trained on, and engaged with the evolving features and products. Defining and Owning product scoping, timely feature development and analyzing the success of deployed features Drafting PRDs describing business cases, high-level use cases, technical requirements, success metrics, and ROI Work closely with engineering teams to deliver quick time-to-market and deliverables. Leading a spectrum of work within pod to drive towards the long and short term goals Conduct user interviews, coordinate usability testing, monitor usage metrics, etc. Executing Sprint ceremonies (Backlog grooming, sprint planning, sprint retro, demos etc) Working with stakeholders from payment provider partners, Data and Engineering teams Desired Skills : 7+ years in a product-related role, preferably in a B2B SaaS environment 7+ years experience with Agile Scrum as Product Owner or Scrum Master Atleast 2 years of experience in payments, FinTech and/or payment gateways. Demonstrable understanding of the intricacies of the payments ecosystem and underlying technologies, and how merchants accept and process payments digitally. Solid understanding of all aspects of the software development lifecycle and release process Excellent communication skills, with the ability to translate technical concepts to non-technical clients and stakeholders Ability to recognize opportunities for product improvements and new products Ability to engage a team of product developers and work closely with a team of external contractors Experience working collaboratively with business development and client-facing roles Bachelor’s degree in computer science, engineering, or other related area required Our Culture: We have an autonomous and empowered work culture encouraging individuals to take ownership and grow quickly Flat hierarchy with fast decision making and a startup-oriented “get things done” culture A strong, fun & positive environment with regular celebrations of our success. We pride ourselves in creating an inclusive, diverse & authentic environment. At Velotio, we embrace diversity. Inclusion is a priority for us, and we are eager to foster an environment where everyone feels valued. We welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation. Show more Show less

Role Purpose Statement Manager Sustainability Analytics Services will be responsible Sustainability Analytics Business Engagement and stakeholder management including requirement gathering, prioritization, scoping & elicitation. Provide subject matter expertise and build functional solution architecture for multiple analytics products & working with various other teams, consultants and subject matter experts. Enable full visibility of Bunge’s Sustainability KPIs for Regulatory and Voluntary Disclosures ensuring the assurance standards . Enable business intelligence & analytics by transforming business and process data into actionable insights to improve business disclosures, decisions and opportunities partnering with data engineering and visualization teams. The incumbent is expected to be an expert in various ESG standards and frameworks, defining sustainability KPIs, Functionally Lead E2E Development of Analytics Tools and manage analysts to elicit business requirements, user stories and translate them to functional specifications for technical solutioning. Key Interfaces Global Sustainability Analytics, Environmental Team, Industrial Team, BBS Analytics Manager, Global Governance Lead, Global Process Owners, Global Transformation Lead and Sustainability Leads, Bunge Global IT and Business Intelligence teams, 3rd party ESG Consultants Key Performance Indicators (KPIs) Build & Enhance Sustainability Analytics Roadmap Deliver Epics as per Business Needs and priority Increased Automation and Improved Data Governance for Disclosures for Regulatory and Voluntary frameworks Positive change in Net promoter Score Main Accountabilities Acting Product Owner and Functional Expert in the practice area of Sustainability, ESG, International Disclosure frameworks and Sustainability Standards Influence, Coach & Lead Subject Matter Experts to build specifications for information systems Engage with business stakeholders, conduct workshops, and capture detailed business requirements Prioritize/Create user stories for Analytics Solution and work closely with Data & Visualization Teams for development. Own Functional Specifications and Global KPI Definitions Own SME Validation and QA Process of the developed stories against BRD and Functional Specs Design UAT Test Cases and facilitate business in conducting UAT in a timeboxed manner and ensure closure Provide clarifications to business users and triage items into change or issues to ensure closure as per workflow Agile-SCRUM Product Owner Participate and Contribute to SCRUM ceremonies like Sprint Planning, Stand-ups, Reviews, Backlog Grooming, & Retrospectives Documenting Agile artifacts such Product Vision, Goal, Roadmap, Milestones, Track Project Status, Risk Log & other artifacts required by governance framework Self-organize routine tasks and lead Workshops, Steer Cos, Governance Checkpoints, and stakeholder meetings Major Opportunities Define & Own ESG KPIs reporting & analytics suite and enable better business decisions & disclosures. Contribute, learn, and keep up with the latest in the ESG & Sustainability compliance frameworks and standards. Become an expert Agile practitioner and learn data and BI tools. Knowledge, Skills And Experience ESG, Sustainability and Industrial KPIs Mastery Extensive understanding of Sustainability Processes, Performance Metrics, and Governance Significant experience driving large projects to successful completion, and ability to work in a global Environment Agile Practitioner and Design Thinking expertise Ability to work in cross functional teams Ability to drive discussions with all levels of management and establish clarity on requirements and deliverables Identify and communicate risks in time and develop mitigation plans Strong communications and presentation skills Ability to make complex and detailed information clear and actionable Effective articulation of varied information in a relatable manner to business audiences Strong collaboration skills and integrity to hold self and others accountable to deliver against commitments Detailed knowledge and experience in BI, Reporting, Analysis, Data Visualization, Visual Storytelling Experience or Professional Certifications in GRI/SASB/IR/TCFD/CDP/BRSR Relevant experience for 7 to 12 years US CPA or Masters in ESG / Sustainability or equivalent from a premier institute/university Competencies Leadership Competencies: Excellent written and oral communication skills, proactive, action- and result oriented, team player, High-performing problem-solver, critical thinker, high degree of passion for establishing a customer-oriented mindset, manage a team of cross functional experts Functional Competencies: Strong working knowledge of sustainability/industrial/supply chain or finance domain, business intelligence/reporting, data analysis and visualization, high analytical capabilities, highly detail-oriented, clear, articulate communicator Technological Competencies: Strong competency in Jira, MS teams, MS PowerPoint, MS Excel, MS Word and working knowledge of other enabling tools for a business services command center. Competencies in Business Analysis and elicitation assisting and enabling tools and platforms Bunge (NYSE: BG) is a world leader in sourcing, processing and supplying oilseed and grain products and ingredients. Founded in 1818, Bunge’s expansive network feeds and fuels a growing world, creating sustainable products and opportunities for more than 70,000 farmers and the consumers they serve across the globe. The company is headquartered in St. Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world. Bunge is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, transgender status, national origin, citizenship, age, disability or military or veteran status, or any other legally protected status. Bunge is an Equal Opportunity Employer. Minorities/Women/Veterans/Disabled Show more Show less

1. POSITION(S) VACANT: Manager- Business Management & Marketing, PCI India, Patna, Bihar 2. ORGANIZATION BACKGROUND : PCI India (PCI) is a registered Indian society, which has been working in India for the past 26 years. PCI drives interventions to transform the lives of communities at scale by solving complex development problems. In the past year, PCI reached more than 1.7 crore (17 million) people in 202 districts across 15 states . Vision and Mission: Vision – A happy, healthy, safe and a sustainable world for all. Mission – Rooted in community realities, PCI co create and scale sustainable solutions to complex development problems. For more information about PCI , please visit https://www.pciglobal.in/ ABOUT THE PROJECT: PCI aims to support Bihar SRLM in transforming the livelihoods of Self-Help Groups (SHGs) women across Bihar through innovations, systems strengthening, capacity building & forging partnerships within the non-farm sector. This ambitious initiative will deploy a comprehensive strategy that operates across systemic and community level to ensure sustainable and scalable economic growth. The project is centred around two key initiatives: “ Didi Ki Rasoi (DKR)” and “ PM Formalisation of Micro Food Processing Enterprises (PMFME) Entrepreneurs ”. DKR , an initiative by JEEViKA, aims to establish community-based canteens across Bihar for providing quality and hygienic food to institutions like hospitals, schools, government offices, and individual customers. Fully owned and operated by women, DKR empowers rural communities while ensuring homely, hygienic meals. The PMFME scheme, launched under the Atmanirbhar Bharat Abhiyan , is a centrally sponsored initiative aimed at enhancing the competitiveness and formalization of India's unorganized food processing sector. Under this scheme JEEViKA is promoting individual micro-enterprises, SHGs, farmer producer organizations (FPOs), to set up enterprises by leveraging on the benefits the scheme provides. To ensure dedicated support to the above initiatives of JEEViKA, PCI would establish a Technical Support Unit ( TSU ), which will play a pivotal role in supporting the DKR initiative of JEEViKA and women entrepreneurs promoted under PMFME , across Bihar. The TSU will play a central role in driving the initiative forward by providing specialized technical assistance and real-time solutions tailored to the unique challenges of the program. The TSU will actively collaborate with stakeholders at all levels, including government departments and community organizations, while placing field teams for supporting PMFME entrepreneurs and for piloting new privatized business models on food enterprises (such as cloud kitchens/ restaurants/ Dhaba’s/ food trucks etc.) to facilitate systemic uniformity in operations across Bihar. Additionally, TSU will prioritize the institutionalization of business solution tools for DKR and foster partnerships to create a robust ecosystem of support for the initiative to thrive. 3. JOB DESCRIPTION / RESPONSIBILITIES: Reporting to the Technical Support Unit (TSU) Lead, the Manager- Business Management and Marketing (MBMM) shall be responsible for driving the growth and sustainability of JEEViKA’s food enterprise models, including the DKR initiative and envisaged private food enterprise models. This role requires a blend of strategic business acumen, marketing expertise, and a deep understanding of grassroots enterprise development. S/he will work closely with community organizations, stakeholders, and institutional partners to ensure operational excellence, financial viability, and market expansion of food enterprises under JEEViKA. S/he shall be responsible for building and nurturing government partnerships for enterprise promotion. The incumbent will lead capacity-building initiatives, assist in market scoping, and identify new revenue streams to support DKR businesses. S/he will be responsible for coordination with the relevant thematic verticals of the SRLM for ensuring smooth implementation of the project. The MBMM will support in enterprise identification and development by ensuring on-ground engagement on regular basis with SHG women. S/he will be responsible for ensuring business viability for DKR s in both public procurement and privatized models. Key Roles and Responsibilities: (A) Project Implementation & Business Management (1) Project Planning & Management (1) Conduct needs assessments to identify challenges and opportunities for rural food business models apart from DKR ; (2) Identify and manage specialist partners that would support Women-owned food enterprises to build the required business and technical skills; (3) Ensure efficient budgeting of the project expenditures. (2) Business Development & Management (1) Develop and implement strategic business plans for DKR s and private food enterprises to ensure long-term sustainability and profitability; (2) Monitor and manage financial performance, including budgeting, cost optimization, and revenue generation for minimum 10 DKR s to set standards of practice; (3) Lead in establishing at least 10 private food enterprises on different models across few blocks of Bihar; (4) Identify and mitigate risks associated with food enterprise operations, ensuring compliance with relevant regulations and quality standards; (5) Build operational frameworks and tools to enhance productivity and efficiency across food enterprise units across Bihar. (3) Marketing Strategy Development (1) Conduct market research to identify trends, consumer preferences, and potential opportunities for diversification and scaling within food business; (2) Design and implement marketing plans to promote privatized food enterprise models; (3) Identify and develop unique value propositions for women owned kitchens to penetrate urban, rural and regional markets; (4) Develop detailed enterprise specific brand marketing strategy for DKR & PMFME supported enterprises; (5) Develop and oversee implementation of business plans. (4) Market linkages & Partnerships (1) Assist in creating market linkages government & private players, including access to local and e-market platforms such as Swiggy & Zomato; (2) Support in creating innovative rural supply chain model with women as business partners to DKR s; (3) Identify new revenue streams and opportunities for rural food enterprise models. (E) Capacity Building (1) Organize workshops and training sessions for rural women on marketing, branding, and sales strategies; (2) Provide mentorship and guidance to women-led enterprises, ensuring their active participation in decision-making processes. (B) Monitoring, Reporting & Documentation (1) Track and evaluate the impact of marketing and business development efforts on women’s income and livelihoods in respect to private food enterprises; (2) Contribute to designing and finalising of state indicators & MIS and ensure timely reporting for DKR and private food models; (3) Develop and submit the progress reports as and when necessary. 4. QUALIFICATIONS, EXPERIENCE AND COMPETENCIES: Qualifications Applicants must have a post-graduate degree in Business Administration, Marketing and Hotel management. Experience (1) Applicants must have minimum five years of experience of working with business management, marketing, or enterprise development, preferably in the food or FMCG sector. (2) Applicants with extensive experience of working as part of the F&B marketing, sales strategy team of leading food businesses/ companies/ franchisees will be preferred. Skills and Competencies (1) Good analytical and problem-solving skills (2) Skills in market analysis, branding, and campaign execution. (3) Proficiency in digital marketing tools and e-commerce platforms. (4) Ability to design and implement innovative marketing strategies. (5) Excellent oral and written English skills (6) Digital literacy including word processing, database systems, and PowerPoint. (7) Strong command of excel and budget management is a plus. 5. COMPENSATION OFFERED: The gross CTC for the position is INR 18 lacs per annum. Please note that the offer made to the selected candidate shall be commensurate with qualifications, experience, and salary history. Additional benefits provided include : (1) A warm, inclusive and happy work environment; (2) Performance driven reward mechanism; (3) Best of class benefits with competitive remunerations; (4) Health Insurance coverage for self, spouse & Children; (5) Group Terms Life Insurance and Group Accident Insurance for Self; (6) All other statutory benefits; (7) Regular recognition of performance and PCI value display in work; (8) An empowering organisation structure which values individual’s skills, competencies and potential; (9) Opportunities to operate in cross functional role; (10) Higher responsibilities and larger roles are merit based; (11) Young Talent Programs for developing future leaders. (12) Leadership roles for women is encouraged and given preference in selection and training. 6. LOCATION: Patna 7. REFERENCE: MBMM-PCI 8. CONTACT INFORMATION: Team SAMS Strategic Alliance Management Services P Ltd. 1/1B, Choudhary Hetram House, Bharat Nagar New Friends Colony, New Delhi 110 025 Phone Nos.: 011- 4081 9900; 4165 3612 9. APPLICATION PROCESS: Eligible candidates interested in the position are requested to apply using the link https://bit.ly/Apply-SAMS-MBMM-PCI at the earliest Show more Show less

Experience : 3.00 + years Salary : INR 1600000-2000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: SenseCloud) (*Note: This is a requirement for one of Uplers' client - A Seed-Funded B2B SaaS Company – Procurement Analytics) What do you need for this opportunity? Must have skills required: open-source, Palantir, privacy techniques, rag, Snowflake, LangChain, LLM, MLOps, AWS, Docker, Python A Seed-Funded B2B SaaS Company – Procurement Analytics is Looking for: Join the Team Revolutionizing Procurement Analytics at SenseCloud Imagine working at a company where you get the best of all worlds: the fast-paced execution of a startup and the guidance of leaders who’ve built things that actually work at scale. We’re not just rethinking how procurement analytics is done — we’re redefining them. At Sensecloud, we envision a future where Procurement data management and analytics is as intuitive as your favorite app. No more complex spreadsheets, no more waiting in line to get IT and analytics teams’ attention, no more clunky dashboards —just real-time insights, smooth automation, and a frictionless experience that helps companies make fast decisions. If you’re ready to help us build the future of procurement analytics, come join the ride. You'll work alongside the brightest minds in the industry, learn cutting-edge technologies, and be empowered to take on challenges that will stretch your skills and your thinking. If you’re ready to help us build the future of procurement, analytics come join the ride. About The Role We’re looking for an AI Engineer who can design, implement, and productionize LLM-powered agents that solve real-world enterprise problems—think automated research assistants, data-driven copilots, and workflow optimizers. You’ll own projects end-to-end: scoping, prototyping, evaluating, and deploying scalable agent pipelines that integrate seamlessly with our customers’ ecosystems. What you'll do: Architect & build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers. Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use. Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs). Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies. Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features. Benchmark & iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders. Stay current with the rapidly evolving GenAI landscape and champion best practices in ethical AI, data privacy, and security. Must-Have Technical Skills 3–5 years software engineering or ML experience in production environments. Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go a bonus. Hands-on with at least one LLM/agent frameworks and platforms (LangChain, LangGraph, Google ADK, LlamaIndex, Emma, etc.). Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models. Experience building and securing REST/GraphQL APIs and microservices. Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization). Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar). Knowledge of ML Ops tooling (Kubeflow, MLflow, SageMaker, Vertex AI) or equivalent custom pipelines. Core Soft Skills Product mindset: translate ambiguous requirements into clear deliverables and user value. Communication: explain complex AI concepts to both engineers and executives; write crisp documentation. Collaboration & ownership: thrive in cross-disciplinary teams, proactively unblock yourself and others. Bias for action: experiment quickly, measure, iterate—without sacrificing quality or security. Growth attitude: stay curious, seek feedback, mentor juniors, and adapt to the fast-moving GenAI space. Nice-to-Haves Experience with RAG pipelines over enterprise knowledge bases (SharePoint, Confluence, Snowflake). Hands-on with MCP servers/clients, MCP Toolbox for Databases, or similar gateway patterns. Familiarity with LLM evaluation frameworks (LangSmith, TruLens, Ragas). Familiarity with Palantir/Foundry. Knowledge of privacy-enhancing techniques (data anonymization, differential privacy). Prior work on conversational UX, prompt marketplaces, or agent simulators. Contributions to open-source AI projects or published research. Why Join Us? Direct impact on products used by Fortune 500 teams. Work with cutting-edge models and shape best practices for enterprise AI agents. Collaborative culture that values experimentation, continuous learning, and work–life balance. Competitive salary, equity, remote-first flexibility, and professional development budget. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1600000-2000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: SenseCloud) (*Note: This is a requirement for one of Uplers' client - A Seed-Funded B2B SaaS Company – Procurement Analytics) What do you need for this opportunity? Must have skills required: open-source, Palantir, privacy techniques, rag, Snowflake, LangChain, LLM, MLOps, AWS, Docker, Python A Seed-Funded B2B SaaS Company – Procurement Analytics is Looking for: Join the Team Revolutionizing Procurement Analytics at SenseCloud Imagine working at a company where you get the best of all worlds: the fast-paced execution of a startup and the guidance of leaders who’ve built things that actually work at scale. We’re not just rethinking how procurement analytics is done — we’re redefining them. At Sensecloud, we envision a future where Procurement data management and analytics is as intuitive as your favorite app. No more complex spreadsheets, no more waiting in line to get IT and analytics teams’ attention, no more clunky dashboards —just real-time insights, smooth automation, and a frictionless experience that helps companies make fast decisions. If you’re ready to help us build the future of procurement analytics, come join the ride. You'll work alongside the brightest minds in the industry, learn cutting-edge technologies, and be empowered to take on challenges that will stretch your skills and your thinking. If you’re ready to help us build the future of procurement, analytics come join the ride. About The Role We’re looking for an AI Engineer who can design, implement, and productionize LLM-powered agents that solve real-world enterprise problems—think automated research assistants, data-driven copilots, and workflow optimizers. You’ll own projects end-to-end: scoping, prototyping, evaluating, and deploying scalable agent pipelines that integrate seamlessly with our customers’ ecosystems. What you'll do: Architect & build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers. Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use. Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs). Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies. Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features. Benchmark & iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders. Stay current with the rapidly evolving GenAI landscape and champion best practices in ethical AI, data privacy, and security. Must-Have Technical Skills 3–5 years software engineering or ML experience in production environments. Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go a bonus. Hands-on with at least one LLM/agent frameworks and platforms (LangChain, LangGraph, Google ADK, LlamaIndex, Emma, etc.). Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models. Experience building and securing REST/GraphQL APIs and microservices. Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization). Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar). Knowledge of ML Ops tooling (Kubeflow, MLflow, SageMaker, Vertex AI) or equivalent custom pipelines. Core Soft Skills Product mindset: translate ambiguous requirements into clear deliverables and user value. Communication: explain complex AI concepts to both engineers and executives; write crisp documentation. Collaboration & ownership: thrive in cross-disciplinary teams, proactively unblock yourself and others. Bias for action: experiment quickly, measure, iterate—without sacrificing quality or security. Growth attitude: stay curious, seek feedback, mentor juniors, and adapt to the fast-moving GenAI space. Nice-to-Haves Experience with RAG pipelines over enterprise knowledge bases (SharePoint, Confluence, Snowflake). Hands-on with MCP servers/clients, MCP Toolbox for Databases, or similar gateway patterns. Familiarity with LLM evaluation frameworks (LangSmith, TruLens, Ragas). Familiarity with Palantir/Foundry. Knowledge of privacy-enhancing techniques (data anonymization, differential privacy). Prior work on conversational UX, prompt marketplaces, or agent simulators. Contributions to open-source AI projects or published research. Why Join Us? Direct impact on products used by Fortune 500 teams. Work with cutting-edge models and shape best practices for enterprise AI agents. Collaborative culture that values experimentation, continuous learning, and work–life balance. Competitive salary, equity, remote-first flexibility, and professional development budget. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1600000-2000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: SenseCloud) (*Note: This is a requirement for one of Uplers' client - A Seed-Funded B2B SaaS Company – Procurement Analytics) What do you need for this opportunity? Must have skills required: open-source, Palantir, privacy techniques, rag, Snowflake, LangChain, LLM, MLOps, AWS, Docker, Python A Seed-Funded B2B SaaS Company – Procurement Analytics is Looking for: Join the Team Revolutionizing Procurement Analytics at SenseCloud Imagine working at a company where you get the best of all worlds: the fast-paced execution of a startup and the guidance of leaders who’ve built things that actually work at scale. We’re not just rethinking how procurement analytics is done — we’re redefining them. At Sensecloud, we envision a future where Procurement data management and analytics is as intuitive as your favorite app. No more complex spreadsheets, no more waiting in line to get IT and analytics teams’ attention, no more clunky dashboards —just real-time insights, smooth automation, and a frictionless experience that helps companies make fast decisions. If you’re ready to help us build the future of procurement analytics, come join the ride. You'll work alongside the brightest minds in the industry, learn cutting-edge technologies, and be empowered to take on challenges that will stretch your skills and your thinking. If you’re ready to help us build the future of procurement, analytics come join the ride. About The Role We’re looking for an AI Engineer who can design, implement, and productionize LLM-powered agents that solve real-world enterprise problems—think automated research assistants, data-driven copilots, and workflow optimizers. You’ll own projects end-to-end: scoping, prototyping, evaluating, and deploying scalable agent pipelines that integrate seamlessly with our customers’ ecosystems. What you'll do: Architect & build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers. Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use. Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs). Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies. Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features. Benchmark & iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders. Stay current with the rapidly evolving GenAI landscape and champion best practices in ethical AI, data privacy, and security. Must-Have Technical Skills 3–5 years software engineering or ML experience in production environments. Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go a bonus. Hands-on with at least one LLM/agent frameworks and platforms (LangChain, LangGraph, Google ADK, LlamaIndex, Emma, etc.). Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models. Experience building and securing REST/GraphQL APIs and microservices. Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization). Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar). Knowledge of ML Ops tooling (Kubeflow, MLflow, SageMaker, Vertex AI) or equivalent custom pipelines. Core Soft Skills Product mindset: translate ambiguous requirements into clear deliverables and user value. Communication: explain complex AI concepts to both engineers and executives; write crisp documentation. Collaboration & ownership: thrive in cross-disciplinary teams, proactively unblock yourself and others. Bias for action: experiment quickly, measure, iterate—without sacrificing quality or security. Growth attitude: stay curious, seek feedback, mentor juniors, and adapt to the fast-moving GenAI space. Nice-to-Haves Experience with RAG pipelines over enterprise knowledge bases (SharePoint, Confluence, Snowflake). Hands-on with MCP servers/clients, MCP Toolbox for Databases, or similar gateway patterns. Familiarity with LLM evaluation frameworks (LangSmith, TruLens, Ragas). Familiarity with Palantir/Foundry. Knowledge of privacy-enhancing techniques (data anonymization, differential privacy). Prior work on conversational UX, prompt marketplaces, or agent simulators. Contributions to open-source AI projects or published research. Why Join Us? Direct impact on products used by Fortune 500 teams. Work with cutting-edge models and shape best practices for enterprise AI agents. Collaborative culture that values experimentation, continuous learning, and work–life balance. Competitive salary, equity, remote-first flexibility, and professional development budget. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1600000-2000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: SenseCloud) (*Note: This is a requirement for one of Uplers' client - A Seed-Funded B2B SaaS Company – Procurement Analytics) What do you need for this opportunity? Must have skills required: open-source, Palantir, privacy techniques, rag, Snowflake, LangChain, LLM, MLOps, AWS, Docker, Python A Seed-Funded B2B SaaS Company – Procurement Analytics is Looking for: Join the Team Revolutionizing Procurement Analytics at SenseCloud Imagine working at a company where you get the best of all worlds: the fast-paced execution of a startup and the guidance of leaders who’ve built things that actually work at scale. We’re not just rethinking how procurement analytics is done — we’re redefining them. At Sensecloud, we envision a future where Procurement data management and analytics is as intuitive as your favorite app. No more complex spreadsheets, no more waiting in line to get IT and analytics teams’ attention, no more clunky dashboards —just real-time insights, smooth automation, and a frictionless experience that helps companies make fast decisions. If you’re ready to help us build the future of procurement analytics, come join the ride. You'll work alongside the brightest minds in the industry, learn cutting-edge technologies, and be empowered to take on challenges that will stretch your skills and your thinking. If you’re ready to help us build the future of procurement, analytics come join the ride. About The Role We’re looking for an AI Engineer who can design, implement, and productionize LLM-powered agents that solve real-world enterprise problems—think automated research assistants, data-driven copilots, and workflow optimizers. You’ll own projects end-to-end: scoping, prototyping, evaluating, and deploying scalable agent pipelines that integrate seamlessly with our customers’ ecosystems. What you'll do: Architect & build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers. Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use. Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs). Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies. Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features. Benchmark & iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders. Stay current with the rapidly evolving GenAI landscape and champion best practices in ethical AI, data privacy, and security. Must-Have Technical Skills 3–5 years software engineering or ML experience in production environments. Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go a bonus. Hands-on with at least one LLM/agent frameworks and platforms (LangChain, LangGraph, Google ADK, LlamaIndex, Emma, etc.). Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models. Experience building and securing REST/GraphQL APIs and microservices. Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization). Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar). Knowledge of ML Ops tooling (Kubeflow, MLflow, SageMaker, Vertex AI) or equivalent custom pipelines. Core Soft Skills Product mindset: translate ambiguous requirements into clear deliverables and user value. Communication: explain complex AI concepts to both engineers and executives; write crisp documentation. Collaboration & ownership: thrive in cross-disciplinary teams, proactively unblock yourself and others. Bias for action: experiment quickly, measure, iterate—without sacrificing quality or security. Growth attitude: stay curious, seek feedback, mentor juniors, and adapt to the fast-moving GenAI space. Nice-to-Haves Experience with RAG pipelines over enterprise knowledge bases (SharePoint, Confluence, Snowflake). Hands-on with MCP servers/clients, MCP Toolbox for Databases, or similar gateway patterns. Familiarity with LLM evaluation frameworks (LangSmith, TruLens, Ragas). Familiarity with Palantir/Foundry. Knowledge of privacy-enhancing techniques (data anonymization, differential privacy). Prior work on conversational UX, prompt marketplaces, or agent simulators. Contributions to open-source AI projects or published research. Why Join Us? Direct impact on products used by Fortune 500 teams. Work with cutting-edge models and shape best practices for enterprise AI agents. Collaborative culture that values experimentation, continuous learning, and work–life balance. Competitive salary, equity, remote-first flexibility, and professional development budget. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1600000-2000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: SenseCloud) (*Note: This is a requirement for one of Uplers' client - A Seed-Funded B2B SaaS Company – Procurement Analytics) What do you need for this opportunity? Must have skills required: open-source, Palantir, privacy techniques, rag, Snowflake, LangChain, LLM, MLOps, AWS, Docker, Python A Seed-Funded B2B SaaS Company – Procurement Analytics is Looking for: Join the Team Revolutionizing Procurement Analytics at SenseCloud Imagine working at a company where you get the best of all worlds: the fast-paced execution of a startup and the guidance of leaders who’ve built things that actually work at scale. We’re not just rethinking how procurement analytics is done — we’re redefining them. At Sensecloud, we envision a future where Procurement data management and analytics is as intuitive as your favorite app. No more complex spreadsheets, no more waiting in line to get IT and analytics teams’ attention, no more clunky dashboards —just real-time insights, smooth automation, and a frictionless experience that helps companies make fast decisions. If you’re ready to help us build the future of procurement analytics, come join the ride. You'll work alongside the brightest minds in the industry, learn cutting-edge technologies, and be empowered to take on challenges that will stretch your skills and your thinking. If you’re ready to help us build the future of procurement, analytics come join the ride. About The Role We’re looking for an AI Engineer who can design, implement, and productionize LLM-powered agents that solve real-world enterprise problems—think automated research assistants, data-driven copilots, and workflow optimizers. You’ll own projects end-to-end: scoping, prototyping, evaluating, and deploying scalable agent pipelines that integrate seamlessly with our customers’ ecosystems. What you'll do: Architect & build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers. Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use. Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs). Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies. Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features. Benchmark & iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders. Stay current with the rapidly evolving GenAI landscape and champion best practices in ethical AI, data privacy, and security. Must-Have Technical Skills 3–5 years software engineering or ML experience in production environments. Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go a bonus. Hands-on with at least one LLM/agent frameworks and platforms (LangChain, LangGraph, Google ADK, LlamaIndex, Emma, etc.). Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models. Experience building and securing REST/GraphQL APIs and microservices. Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization). Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar). Knowledge of ML Ops tooling (Kubeflow, MLflow, SageMaker, Vertex AI) or equivalent custom pipelines. Core Soft Skills Product mindset: translate ambiguous requirements into clear deliverables and user value. Communication: explain complex AI concepts to both engineers and executives; write crisp documentation. Collaboration & ownership: thrive in cross-disciplinary teams, proactively unblock yourself and others. Bias for action: experiment quickly, measure, iterate—without sacrificing quality or security. Growth attitude: stay curious, seek feedback, mentor juniors, and adapt to the fast-moving GenAI space. Nice-to-Haves Experience with RAG pipelines over enterprise knowledge bases (SharePoint, Confluence, Snowflake). Hands-on with MCP servers/clients, MCP Toolbox for Databases, or similar gateway patterns. Familiarity with LLM evaluation frameworks (LangSmith, TruLens, Ragas). Familiarity with Palantir/Foundry. Knowledge of privacy-enhancing techniques (data anonymization, differential privacy). Prior work on conversational UX, prompt marketplaces, or agent simulators. Contributions to open-source AI projects or published research. Why Join Us? Direct impact on products used by Fortune 500 teams. Work with cutting-edge models and shape best practices for enterprise AI agents. Collaborative culture that values experimentation, continuous learning, and work–life balance. Competitive salary, equity, remote-first flexibility, and professional development budget. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1600000-2000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: SenseCloud) (*Note: This is a requirement for one of Uplers' client - A Seed-Funded B2B SaaS Company – Procurement Analytics) What do you need for this opportunity? Must have skills required: open-source, Palantir, privacy techniques, rag, Snowflake, LangChain, LLM, MLOps, AWS, Docker, Python A Seed-Funded B2B SaaS Company – Procurement Analytics is Looking for: Join the Team Revolutionizing Procurement Analytics at SenseCloud Imagine working at a company where you get the best of all worlds: the fast-paced execution of a startup and the guidance of leaders who’ve built things that actually work at scale. We’re not just rethinking how procurement analytics is done — we’re redefining them. At Sensecloud, we envision a future where Procurement data management and analytics is as intuitive as your favorite app. No more complex spreadsheets, no more waiting in line to get IT and analytics teams’ attention, no more clunky dashboards —just real-time insights, smooth automation, and a frictionless experience that helps companies make fast decisions. If you’re ready to help us build the future of procurement analytics, come join the ride. You'll work alongside the brightest minds in the industry, learn cutting-edge technologies, and be empowered to take on challenges that will stretch your skills and your thinking. If you’re ready to help us build the future of procurement, analytics come join the ride. About The Role We’re looking for an AI Engineer who can design, implement, and productionize LLM-powered agents that solve real-world enterprise problems—think automated research assistants, data-driven copilots, and workflow optimizers. You’ll own projects end-to-end: scoping, prototyping, evaluating, and deploying scalable agent pipelines that integrate seamlessly with our customers’ ecosystems. What you'll do: Architect & build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers. Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use. Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs). Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies. Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features. Benchmark & iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders. Stay current with the rapidly evolving GenAI landscape and champion best practices in ethical AI, data privacy, and security. Must-Have Technical Skills 3–5 years software engineering or ML experience in production environments. Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go a bonus. Hands-on with at least one LLM/agent frameworks and platforms (LangChain, LangGraph, Google ADK, LlamaIndex, Emma, etc.). Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models. Experience building and securing REST/GraphQL APIs and microservices. Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization). Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar). Knowledge of ML Ops tooling (Kubeflow, MLflow, SageMaker, Vertex AI) or equivalent custom pipelines. Core Soft Skills Product mindset: translate ambiguous requirements into clear deliverables and user value. Communication: explain complex AI concepts to both engineers and executives; write crisp documentation. Collaboration & ownership: thrive in cross-disciplinary teams, proactively unblock yourself and others. Bias for action: experiment quickly, measure, iterate—without sacrificing quality or security. Growth attitude: stay curious, seek feedback, mentor juniors, and adapt to the fast-moving GenAI space. Nice-to-Haves Experience with RAG pipelines over enterprise knowledge bases (SharePoint, Confluence, Snowflake). Hands-on with MCP servers/clients, MCP Toolbox for Databases, or similar gateway patterns. Familiarity with LLM evaluation frameworks (LangSmith, TruLens, Ragas). Familiarity with Palantir/Foundry. Knowledge of privacy-enhancing techniques (data anonymization, differential privacy). Prior work on conversational UX, prompt marketplaces, or agent simulators. Contributions to open-source AI projects or published research. Why Join Us? Direct impact on products used by Fortune 500 teams. Work with cutting-edge models and shape best practices for enterprise AI agents. Collaborative culture that values experimentation, continuous learning, and work–life balance. Competitive salary, equity, remote-first flexibility, and professional development budget. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1600000-2000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: SenseCloud) (*Note: This is a requirement for one of Uplers' client - A Seed-Funded B2B SaaS Company – Procurement Analytics) What do you need for this opportunity? Must have skills required: open-source, Palantir, privacy techniques, rag, Snowflake, LangChain, LLM, MLOps, AWS, Docker, Python A Seed-Funded B2B SaaS Company – Procurement Analytics is Looking for: Join the Team Revolutionizing Procurement Analytics at SenseCloud Imagine working at a company where you get the best of all worlds: the fast-paced execution of a startup and the guidance of leaders who’ve built things that actually work at scale. We’re not just rethinking how procurement analytics is done — we’re redefining them. At Sensecloud, we envision a future where Procurement data management and analytics is as intuitive as your favorite app. No more complex spreadsheets, no more waiting in line to get IT and analytics teams’ attention, no more clunky dashboards —just real-time insights, smooth automation, and a frictionless experience that helps companies make fast decisions. If you’re ready to help us build the future of procurement analytics, come join the ride. You'll work alongside the brightest minds in the industry, learn cutting-edge technologies, and be empowered to take on challenges that will stretch your skills and your thinking. If you’re ready to help us build the future of procurement, analytics come join the ride. About The Role We’re looking for an AI Engineer who can design, implement, and productionize LLM-powered agents that solve real-world enterprise problems—think automated research assistants, data-driven copilots, and workflow optimizers. You’ll own projects end-to-end: scoping, prototyping, evaluating, and deploying scalable agent pipelines that integrate seamlessly with our customers’ ecosystems. What you'll do: Architect & build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers. Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use. Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs). Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies. Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features. Benchmark & iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders. Stay current with the rapidly evolving GenAI landscape and champion best practices in ethical AI, data privacy, and security. Must-Have Technical Skills 3–5 years software engineering or ML experience in production environments. Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go a bonus. Hands-on with at least one LLM/agent frameworks and platforms (LangChain, LangGraph, Google ADK, LlamaIndex, Emma, etc.). Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models. Experience building and securing REST/GraphQL APIs and microservices. Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization). Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar). Knowledge of ML Ops tooling (Kubeflow, MLflow, SageMaker, Vertex AI) or equivalent custom pipelines. Core Soft Skills Product mindset: translate ambiguous requirements into clear deliverables and user value. Communication: explain complex AI concepts to both engineers and executives; write crisp documentation. Collaboration & ownership: thrive in cross-disciplinary teams, proactively unblock yourself and others. Bias for action: experiment quickly, measure, iterate—without sacrificing quality or security. Growth attitude: stay curious, seek feedback, mentor juniors, and adapt to the fast-moving GenAI space. Nice-to-Haves Experience with RAG pipelines over enterprise knowledge bases (SharePoint, Confluence, Snowflake). Hands-on with MCP servers/clients, MCP Toolbox for Databases, or similar gateway patterns. Familiarity with LLM evaluation frameworks (LangSmith, TruLens, Ragas). Familiarity with Palantir/Foundry. Knowledge of privacy-enhancing techniques (data anonymization, differential privacy). Prior work on conversational UX, prompt marketplaces, or agent simulators. Contributions to open-source AI projects or published research. Why Join Us? Direct impact on products used by Fortune 500 teams. Work with cutting-edge models and shape best practices for enterprise AI agents. Collaborative culture that values experimentation, continuous learning, and work–life balance. Competitive salary, equity, remote-first flexibility, and professional development budget. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1600000-2000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: SenseCloud) (*Note: This is a requirement for one of Uplers' client - A Seed-Funded B2B SaaS Company – Procurement Analytics) What do you need for this opportunity? Must have skills required: open-source, Palantir, privacy techniques, rag, Snowflake, LangChain, LLM, MLOps, AWS, Docker, Python A Seed-Funded B2B SaaS Company – Procurement Analytics is Looking for: Join the Team Revolutionizing Procurement Analytics at SenseCloud Imagine working at a company where you get the best of all worlds: the fast-paced execution of a startup and the guidance of leaders who’ve built things that actually work at scale. We’re not just rethinking how procurement analytics is done — we’re redefining them. At Sensecloud, we envision a future where Procurement data management and analytics is as intuitive as your favorite app. No more complex spreadsheets, no more waiting in line to get IT and analytics teams’ attention, no more clunky dashboards —just real-time insights, smooth automation, and a frictionless experience that helps companies make fast decisions. If you’re ready to help us build the future of procurement analytics, come join the ride. You'll work alongside the brightest minds in the industry, learn cutting-edge technologies, and be empowered to take on challenges that will stretch your skills and your thinking. If you’re ready to help us build the future of procurement, analytics come join the ride. About The Role We’re looking for an AI Engineer who can design, implement, and productionize LLM-powered agents that solve real-world enterprise problems—think automated research assistants, data-driven copilots, and workflow optimizers. You’ll own projects end-to-end: scoping, prototyping, evaluating, and deploying scalable agent pipelines that integrate seamlessly with our customers’ ecosystems. What you'll do: Architect & build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers. Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use. Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs). Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies. Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features. Benchmark & iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders. Stay current with the rapidly evolving GenAI landscape and champion best practices in ethical AI, data privacy, and security. Must-Have Technical Skills 3–5 years software engineering or ML experience in production environments. Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go a bonus. Hands-on with at least one LLM/agent frameworks and platforms (LangChain, LangGraph, Google ADK, LlamaIndex, Emma, etc.). Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models. Experience building and securing REST/GraphQL APIs and microservices. Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization). Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar). Knowledge of ML Ops tooling (Kubeflow, MLflow, SageMaker, Vertex AI) or equivalent custom pipelines. Core Soft Skills Product mindset: translate ambiguous requirements into clear deliverables and user value. Communication: explain complex AI concepts to both engineers and executives; write crisp documentation. Collaboration & ownership: thrive in cross-disciplinary teams, proactively unblock yourself and others. Bias for action: experiment quickly, measure, iterate—without sacrificing quality or security. Growth attitude: stay curious, seek feedback, mentor juniors, and adapt to the fast-moving GenAI space. Nice-to-Haves Experience with RAG pipelines over enterprise knowledge bases (SharePoint, Confluence, Snowflake). Hands-on with MCP servers/clients, MCP Toolbox for Databases, or similar gateway patterns. Familiarity with LLM evaluation frameworks (LangSmith, TruLens, Ragas). Familiarity with Palantir/Foundry. Knowledge of privacy-enhancing techniques (data anonymization, differential privacy). Prior work on conversational UX, prompt marketplaces, or agent simulators. Contributions to open-source AI projects or published research. Why Join Us? Direct impact on products used by Fortune 500 teams. Work with cutting-edge models and shape best practices for enterprise AI agents. Collaborative culture that values experimentation, continuous learning, and work–life balance. Competitive salary, equity, remote-first flexibility, and professional development budget. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

About Amagi We are a next-generation media technology company that provides cloud broadcast and targeted advertising solutions to broadcast TV and streaming TV platforms. Amagi enables content owners to launch, distribute, and monetize live linear channels on Free Ad-supported Streaming TV and video services platforms. Amagi also offers 24x7 cloud-managed services bringing simplicity, advanced automation, and transparency to the entire broadcast operations. Overall, Amagi supports 700+ content brands, 800+ playout chains, and over 2500 channel deliveries on its platform in over 40 countries. Amagi has a presence in New York, Los Angeles, Toronto, London, Paris, Melbourne, Seoul, Singapore, and broadcast operations in New Delhi, and an innovation center in Bangalore. For more information visit us at www.amagi.com Role: Technical Program Manager Location: Bangalore Department: Program Management Amagi is seeking an experienced Technical Program Manager (TPM) to lead the planning, execution, and delivery of critical technical programs for enterprise customers. As a TPM, you will leverage a metrics-driven approach to ensure that projects are completed on time, within scope, and with the highest quality. You will also collaborate extensively with both internal teams and onsite customer-facing project management and technical teams, ensuring seamless communication and successful program execution. This role requires a deep understanding of product functionality, strong technical expertise, and the ability to translate customer needs into actionable plans. You will use your ability to manage by data, deliver strategic insights, and guide cross-functional teams to achieve program goals. Key Responsibilities: Program Planning & Execution Excellence Detailed Planning: Lead the creation of comprehensive, actionable plans for all technical programs, defining scope, schedule, and quality metrics. Ensure that all program milestones, including feature releases, defect resolutions, and customer deployments, are meticulously planned and tracked Metrics-Driven Execution: Manage program performance using quantitative metrics such as project timelines, resource allocation, issue tracking, and customer satisfaction scores. Use data to inform decision-making, proactively identify risks, and adjust plans when necessary Risk & Contingency Planning: Identify potential risks early in the planning phase, develop mitigation strategies, and maintain a risk register to ensure timely action Predictability & Transparency: Ensure predictability in program delivery by consistently monitoring and reporting progress against plan. Keep stakeholders updated on status, risks, and decisions using clear, transparent communication Rigorous Scope Management: Ensure strict control over project scope, with formal sign-off via a scoping document before any development starts. Track and manage any changes through a formal Change Request (CR) process Metrics-Driven Change Control: Assess the impact of scope changes using metrics to quantify their effects on timelines, resources, and budgets. Communicate changes to all stakeholders, ensuring alignment and tracking of adjustments Customer-Facing Defect Management: Track and prioritize Customer Found Defects (CFDs) based on agreed-upon SLAs, ensuring clear reporting and transparent communication with customers Enterprise Customer Management Voice of the Customer: Act as the primary advocate for the customer, ensuring their needs and priorities are embedded in program planning and execution. Communicate any impact on customer deliverables promptly and transparently Customer-Focused Metrics: Track and report key customer satisfaction metrics, escalations, and defect resolution progress. Use insights from these metrics to continuously refine delivery processes and customer interactions Roadmap Alignment & Communication: Ensure the technical program roadmap aligns with the broader product roadmap. Collaborate with product management and customer success teams to balance customer expectations with product capabilities, using data to manage trade-offs L2 Handover & Post-Launch Support Seamless L2 Handover: Ensure that key milestones (e.g., channel launches, upgrades, infrastructure changes) are followed by timely and complete L2 handovers. Track actions and ensure that they are completed within agreed-upon timelines Post-Launch Monitoring: Collaborate with Customer Success and onsite technical teams to monitor program performance post-launch, addressing any issues or customer concerns promptly Stakeholder & Cross-Functional Collaboration Cross-Functional Collaboration: Collaborate closely with onsite customer-facing project management teams and technical teams to ensure alignment between customer needs and internal execution. Build strong relationships with these teams to ensure smooth communication and efficient problem-solving Joint Stakeholder Management: Partner with customer-facing teams to align on key milestones, risks, and customer priorities. Ensure that all stakeholders—internal and external—are kept updated on program status through clear, consistent communication and reporting Unified Escalation Management: Work collaboratively with onsite teams to identify potential escalations early and address them proactively. Manage escalations jointly, ensuring timely updates and resolutions for customers Clear Communication: Establish transparent and effective communication channels with all internal and external stakeholders. Ensure that program plans, milestones, risks, and issues are clearly communicated to all parties using data to guide decision-making Internal Alignment: Collaborate with internal teams (Product Management, Engineering, QA, etc.) to ensure customer priorities are reflected in the technical execution of the program. Use metrics and data-driven insights to keep internal teams aligned and accountable Program Metrics & Reporting Regular Reporting: Own the creation and maintenance of program dashboards and metrics to provide clear visibility into project health. Regularly update stakeholders on key performance indicators (KPIs) such as scope adherence, schedule performance, defect resolution, and customer satisfaction Impact Measurement: Define and track success metrics for the program. Ensure that KPIs such as on-time delivery, quality assurance, and cost control are consistently met KPI-Driven Decision Making: Use program metrics to make informed decisions about resource allocation, scope adjustments, and risk management. Regularly evaluate the success of program elements based on measurable outcomes Continuous Improvement Process Refinement: Continuously assess the effectiveness of planning, execution, and reporting processes. Identify opportunities for improvement and implement changes that enhance the program's efficiency and success Feedback Loops: Establish strong feedback loops with both internal and customer-facing teams to capture lessons learned and incorporate them into future program planning and delivery Product & Technical Expertise Product Knowledge Operational Understanding: Gain deep familiarity with AMAGI products, ensuring you can understand and leverage product features in common use-cases. You should be able to operate the product like an experienced user, understanding how each feature supports customer workflows Customer-Centric Use-Cases: Identify common use-cases and pain points that customers experience, ensuring that the technical program is aligned with their needs and expectations Technical Understanding High-Level Architecture: Demonstrate a strong understanding of software product's technical architecture, including how product components interconnect to fulfill common use-cases Deployment & Architectural Diagrams: Be able to explain deployment and architectural diagrams for customer sites, showcasing how product components work together and how they are implemented in different environments Product Functionality: Be able to walk through product components, explaining their roles in customer workflows and how they interact to deliver value Success Criteria: Adherence to Plan & Metrics: Ensure all projects stay on track with predefined plans and KPIs. Any deviations should be identified and addressed early with corrective actions taken Scope Control: No scope creep occurs without formal approval, and all changes are tracked and communicated with clear impact assessments Schedule & Cost Management: Ensure projects are delivered on time and within budget, with any delays or cost increases being managed through proactive mitigation plans Quality Assurance: Ensure that critical bugs are not shipped without exception approvals and that CFDs are tracked and resolved within SLAs Customer Satisfaction: Maintain strong customer relationships and consistently meet satisfaction targets through clear communication and timely, high-quality delivery Reporting & Communication: Deliver regular, actionable reports on program health and metrics, meeting internal and external stakeholder needs Requirements Required Qualifications: Experience: 5+ years in Technical Program Management, with a strong emphasis on planning, metrics management, and customer-facing collaboration Education: Bachelor's degree in Computer Science, Engineering, or related field. PMP, Agile, or similar certifications are a plus Technical Expertise: Strong understanding of technical program delivery in SaaS or enterprise environments. Familiarity with CloudPort's architecture and components is a plus Cross-Functional Collaboration: Proven ability to collaborate with onsite customer-facing project management and technical teams to ensure alignment and successful delivery Data-Driven Management: Strong ability to manage projects using metrics, KPIs, and dashboards to drive decision-making and optimize execution Communication Skills: Excellent communication skills, including the ability to translate technical concepts into understandable language for non-technical stakeholders Preferred Qualifications: Industry Knowledge: Familiarity with media, broadcasting, or cloud technology industries Agile Methodology: Experience with Agile methodologies and tools like Jira for project tracking and reporting Show more Show less