18422 Spark Jobs - Page 40

Role Overview We are seeking an experienced and intellectually curious professional to join us as Associate Director – Research & Advisory Services . This is a high-impact, individual contributor role – not a team management position. You will lead research efforts, deliver advisory engagements, and act as a trusted expert to clients. This role is ideal for someone who thrives at the intersection of research depth, market context, and client impact. Key Responsibilities Primary Research & Analysis Conduct in-depth research across assigned technology domains (e.g., cybersecurity, networking, data platforms, AI, enterprise applications, etc.). Analyze industry trends, vendor landscapes, buyer behavior, and market dynamics. Author research reports, SPARK Matrix evaluations, blogs, and insight briefs. Advisory Engagements Provide 1:1 advisory sessions to enterprise clients and technology vendors. Answer client inquiries, provide decision support, and guide them through market challenges. Contribute to analyst briefings, product assessments, and positioning discussions. Client Relationship Building Develop strong, trust-based relationships with key clients. Participate in client calls, events, or strategy sessions to understand needs and provide high-quality insights. Work closely with the Customer Success and Sales teams to support retention and upsell opportunities. Thought Leadership Represent QKS Group in public forums (webinars, panels, LinkedIn, etc.). Build personal brand as a trusted advisor and domain expert. Collaborate with internal teams on content, community programs, and product feedback. Preferred Qualifications 10–15 years of experience in consulting, product management, product marketing, or solution engineering. Prior experience at technology level, enterprise tech vendor, or boutique consultancy. Exposure to enterprise IT buyer personas (CIO, CISO, CDO, etc.). Strong client-facing communication and executive presence. MBA or equivalent degree is a must.

Company Overview: HCL Tech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, High Tech, Semiconductor, Telecom and Media, Retail and CPG and Public Services. Consolidated revenues as of 12 months ending June 2025 totaled $14 billion. To learn how we can supercharge progress for you, visit hcltech.com "Join HCL and Shape the Future!" HCL Technologies is looking for an experienced Java Developer with expertise in Java, J2EE, Networking/Telecom, to join our dynamic team. The ideal candidate will be responsible for end-to-end module ownership, defect management, customer ticket triaging, and contributing to serviceability improvements. You will work closely with cross-functional teams, provide technical expertise, and ensure high-quality support for our customers. Qualification Required: BE/B. Tech/M. Tech/MCA educational background Work Location: Chennai and Bengaluru Exp: 7 to 10 yrs. Roles And Responsibilities: 8+ years of experience in Java , J2EE, Networking, GoLang(Optional), DB development and support. Be the complete owner for the module and work on sustenance, feature tracking, vulnerability, and customer ticket triaging. Cross functional working (taking the secondary ownership on other modules). Must take care of customer found defects and internally found defects. Interact with TAC team, analyze on customer tickets, suggest configuration changes and provide fixes. Participate in code reviews, analyze and fi on Coverity fixes, vulnerability assessments, and VTN fixes. Suggest serviceability improvements and bring in value additions to the product/component. Collaborate with the functionals owners of client side and QA team. Provide the regular updates for Customer/Internally found defects Apply now by clicking the 'Apply' button or email your most recent resume to Chandru.c@hcltech.com How You’ll Grow At HCL Tech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best. Why Us We are one of the fastest-growing large tech companies in the world, with offices in 60+ countries across the globe and 222,000 employees Our company is extremely diverse with 165 nationalities represented We offer the opportunity to work with colleagues across the globe We offer a virtual-first work environment, promoting a good work-life integration and real flexibility We are invested in your growth, offering learning and career development opportunities at every level to help you find your own unique spark We offer comprehensive benefits for all employees We are a certified great place to work and a top employer in 17 countries, offering a positive work environment that values employee recognition and respect.

Are you a passionate Video Editor with a creative spark? Join our dynamic team! We are looking for a full-time Video Editor to be a part of our creative team in Noida (Sector 49). If you have at least 2 years of professional editing experience and a love for visual storytelling, this on-site position might be the perfect fit for you! Key Responsibilities: 🎬 Editing high-quality videos for various platforms (Reels, YouTube, documentaries, etc.) 🎬 Collaborating with the creative team to bring innovative ideas to life 🎬 Ensuring all videos align with brand guidelines and messaging Requirements: 🔹 Proficiency in Adobe Premiere Pro, Adobe After Effects, and Adobe Illustrator (or similar software) 🔹 Basic understanding of color grading, sound design, and transitions 🔹 Ability to work independently and meet deadlines 🔹 Previous experience editing reels, YouTube videos, or documentaries is a plus! If you're a detail-oriented and creative individual who's ready to make an impact, we would love to hear from you! 🔗 Apply now and take the next step in your creative journey with us! #Hiring #VideoEditor #CreativeJobs #AdobePremierePro #NoidaJobs #JobAlert #CreativeTeam #VisualStorytelling #JoinOurTeam

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within…. Responsibilities Required years of experience : 3-5 years 2. Engage in design, development and deployment of data integration solutions employing a three-tiered ETL methodology. 3. Utilize Python and Py-Spark to extract data from diverse sources, execute transformative operations including filtering and joining, and dispatch processed data to designated destinations. 4. Understanding and experience with Azure Databricks will be preferred. Knowledge of advanced Python programming concepts is compulsory Mandatory Skill Sets Python/pySpark/Azure Databricks Preferred Skill Sets Python/pySpark/Azure Databricks Years Of Experience Required 3+ Education Qualification B.Tech/B.E. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Full Stack Development Optional Skills Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, Analytical Thinking, Android, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD), Creativity {+ 46 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Be the spark that brightens days and ignite your career with TTEC’s award-winning employment experience. As a Chat Customer Service Representative working on site in Ahmedabad, Gujarat (Opp. L.J. Group of Institutes, Off S.G. Highway, Makarba), you’ll be a part of bringing humanity to business. #experienceTTEC Apply in-person for immediate interview - Monday to Friday - 10:30 AM to 4:00 PM Interested in Relocating? Virtual interviews accepted as well What You’ll Be Doing Do you have a passion for helping others and giving them peace of mind? In this role, you'll work to resolve customer issues via chat services including chat, text, email, social media, direct messaging as well as other nonverbal platforms. Whether it’s getting answers for customers quickly, consulting on products with compassion or resolving their issues with a smile, you’ll be the difference between their customer experience being just average or an exceptional one You'll report to Team Lead. You’ll contribute to the success of the customer experience as well as the overall success of the team. During a Typical Day, You’ll Answer incoming communications from customers Connect and resolve issues with customers using written communication only What You Bring To The Role 1 year or more customer service experience – Freshers welcome to apply Great written communication skills including grammar and spelling High School Diploma Computer savvy Flexibility to work in a 24/7 environment What You Can Expect Knowledgeable, encouraging, supporting and present leadership Diverse and community minded organization Career-growth and lots of learning opportunities for aspiring minds And yes...all the competitive compensation, performance bonus opportunities, and benefits you'd expect and maybe a few that would pleasantly surprise you A Bit More About Your Role We’ll train you to be a subject matter expert in your field, so you can be confident in providing the highest level of service possible whether through voice, chat or email interactions. We trust you already have the necessary ingredient that can’t be taught – a caring and supportive nature that will shine through as you help customers. You’ll also have a chance to make great new friends within the TTEC community and grow your career in a dynamic, family-friendly atmosphere. You'll report to Team Lead. You’ll contribute to the success of the customer experience as well as the overall success of the team. About TTEC Our business is about making customers happy. That’s all we do. Since 1982, we’ve helped companies build engaged, pleased, profitable customer experiences powered by our combination of humanity and technology. On behalf of many of the world’s leading iconic and disruptive brands, we talk, message, text, and video chat with millions of customers every day. These exceptional customer experiences start with you. TTEC is proud to be an equal opportunity employer where all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. TTEC embraces and is committed to building a diverse and inclusive workforce that respects and empowers the culture and perspectives within our global teams. We strive to reflect the communities we serve by not only delivering amazing service and technology, but also humanity. We make it a point to make sure all our employees feel valued and comfortable being their authentic selves at work. As a global company, we know diversity is our strength. It enables us to view projects and ideas from different vantage points and allows every individual to bring value to the table in their own unique way. Primary Location India-Gujarat-Ahmedabad Job _Customer Care Representative

🚀 Join a Global Leader in Precision Engineering! Vedika Machinery Pvt. Ltd. is India’s largest manufacturer and exporter of spare parts for the teabag packaging industry. With a global footprint in over 38 countries, we are pioneers in reverse engineering ultra high-precision mechanical parts used in high-speed machinery. We are now hiring a Reverse Engineering Specialist to join our expert team at our Kolkata facility. 🔧 Key Responsibilities: Reverse engineer high-precision mechanical spare parts using AutoCAD 2D based on physical samples or historical drawings. Read and interpret detailed manufacturing drawings for complex components. Use precision measurement and inspection tools (Micrometer, Vernier, etc.) to capture dimensional data. Guide internal teams on manufacturing processes and best practices including: Lathe / Turning, Milling, Grinding (surface, cylindrical, tool & cutter) EDM Spark / Wirecut, VMC, CNC Turning Design step-by-step manufacturing drawings with material specs and tolerances. Recommend suitable raw materials, coatings, and hardening processes (e.g., tool steel, nitriding, anodizing). Collaborate with programming teams for VMC, CNC & EDM using MasterCam, Elcam, Fanuc (BFW), Siemens , Electronica controls. 🎓 Required Experience & Skills: 3–5 years+ experience in reverse engineering and high-precision mechanical manufacturing. Proficient in AutoCAD 2D drafting for mechanical components. Sound knowledge of engineering materials , heat treatment, and coating methods. Ability to work with shop floor teams and provide process inputs for optimized manufacturing. 💼 What We Offer: Competitive salary (commensurate with experience) ESI, PF, Gratuity, Bonus & other statutory benefits Long-term growth opportunities in a niche, globally connected industry Potential for international travel for on-site product study and client interaction 📍 Location: Full-time position based in Paharpur / Taratala, Kolkata If you are passionate about engineering and thrive on precision, problem-solving, and impact— this is the role for you. 🔗 Apply now or share your CV at toolroommechanical@gmail.com with subject: “Application for Reverse Engineering Specialist”

Description We are seeking a talented Sr. Big Data Engineer to deliver roadmap features of Enterprise TruRisk Platform which would help customers to Measure, Communicate and Eliminate Cyber Risks. Working with a team of engineers and architects, you will be responsible for prototyping, designing, developing and supporting a highly scalable, distributed SaaS based Security Risk Prioritization product. This is a fantastic opportunity to be an integral part of a team building Qualys next generation platform using Big Data & Micro-Services based technology to process over billions of transactions data per day, leverage open-source technologies, and work on challenging and business-impacting initiatives. Responsibilities Be the thought leader in data platform and pipeline along with Risk Evaluation . Provide technical leadership to the engineering organization on data platform design, roll out and evolution. Liason to product teams, professional services and sales engineers on solution and trade-off reviews and represent engineering in such conversations. Drive technology explorations and roadmaps. Serve as a technical lead on our most demanding, cross-functional departments . Ensure the quality of architecture and design of systems. Functionally decompose complex problems into simple, straight-forward solutions. Fully and completely understand system interdependencies and limitations. Possess expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Leverage knowledge of internal and industry prior art in design decisions. Effectively research and benchmark cloud technology against other competing systems in the industry. Able to document the details so it will be easy for developers to understand the requirements. Assisting developers with proper requirements and directions. Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members. Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience. Able to share knowledge and train others. Qualifications Bachelor’s degree in computer science or equivalent 6 + years of total experience. 2 + years of relevant experience in design and architecture Big Data solutions using Spark 3+ years experience in working with engineering resources for innovation. 4 + years experience in understanding Big Data events flow pipeline. 3+ years experience in performance testing for large infrastructure. 3+ In depth experience in understanding various search solutions solr /elastic. 3+ years experience in Kafka In depth experience in Data lakes and related ecosystems. In depth experience of messing queue In depth experience in giving requirements to build a scalable architecture for Big data and Micro-services environments. In depth experience in understanding caching components or services Knowledge in Presto technology. Knowledge in Airflow. Hands-on experience in scripting and automation In depth understanding of RDBMS/NoSQL , Oracle , Cassandra , Kafka , Redis , Hadoop, lambda architecture, kappa , kappa ++ architectures with flink data streaming and rule engines Experience in working with ML models engineering and related deployment . Design and implement secure big data clusters to meet many compliances and regulatory requirements. Experience in leading the delivery of large-scale systems focused on managing the infrastructure layer of the technology stack . Strong experience in doing performance benchmarking testing for Big data technologies. Strong troubleshooting skills. Experience leading development life cycle process and best practices Experience in Big Data services administration would be

Description We are seeking a talented Lead Big Data Engineer to deliver roadmap features of Enterprise TruRisk Platform which would help customers to Measure, Communicate and Eliminate Cyber Risks. Working with a team of engineers and architects, you will be responsible for prototyping, designing, developing and supporting a highly scalable, distributed SaaS based Security Risk Prioritization product. This is a fantastic opportunity to be an integral part of a team building Qualys next generation platform using Big Data & Micro-Services based technology to process over billions of transactions data per day, leverage open-source technologies, and work on challenging and business-impacting initiatives. Responsibilities Be the thought leader in data platform and pipeline along with Risk Evaluation . Provide technical leadership to the engineering organization on data platform design, roll out and evolution. Liason to product teams, professional services and sales engineers on solution and trade-off reviews and represent engineering in such conversations. Drive technology explorations and roadmaps. Serve as a technical lead on our most demanding, cross-functional departments . Ensure the quality of architecture and design of systems. Functionally decompose complex problems into simple, straight-forward solutions. Fully and completely understand system interdependencies and limitations. Possess expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Leverage knowledge of internal and industry prior art in design decisions. Effectively research and benchmark cloud technology against other competing systems in the industry. Able to document the details so it will be easy for developers to understand the requirements. Assisting developers with proper requirements and directions. Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members. Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience. Able to share knowledge and train others. Qualifications Bachelor’s degree in computer science or equivalent 8 + years of total experience. 4 + years of relevant experience in design and architecture Big Data solutions using Spark 3+ years experience in working with engineering resources for innovation. 4 + years experience in understanding Big Data events flow pipeline. 3+ years experience in performance testing for large infrastructure. 3+ In depth experience in understanding various search solutions solr /elastic. 3+ years experience in Kafka In depth experience in Data lakes and related ecosystems. In depth experience of messing queue In depth experience in giving requirements to build a scalable architecture for Big data and Micro-services environments. In depth experience in understanding caching components or services Knowledge in Presto technology. Knowledge in Airflow. Hands-on experience in scripting and automation In depth understanding of RDBMS/NoSQL , Oracle , Cassandra , Kafka , Redis , Hadoop, lambda architecture, kappa , kappa ++ architectures with flink data streaming and rule engines Experience in working with ML models engineering and related deployment . Design and implement secure big data clusters to meet many compliances and regulatory requirements. Experience in leading the delivery of large-scale systems focused on managing the infrastructure layer of the technology stack . Strong experience in doing performance benchmarking testing for Big data technologies. Strong troubleshooting skills. Experience leading development life cycle process and best practices Experience in Big Data services administration would be added value. Experience with Agile Management (SCRUM, RUP, XP), OO Modeling, working on internet, UNIX, Mid

Your Team Responsibilities Design, develop, and maintain data pipelines and ETL/ELT processes using PySpark/Databricks. Optimize performance for large datasets through techniques such as partitioning, indexing, and Spark optimization. Collaborate with cross-functional teams to resolve technical issues and gather requirements. Your Key Responsibilities Ensure data quality and integrity through data validation and cleansing processes. Analyze existing SQL queries, functions, and stored procedures for performance improvements. Develop database routines like procedures, functions, and views. Participate in data migration projects and understand technologies like Delta Lake/warehouse. Debug and solve complex problems in data pipelines and processes. Your Skills And Experience That Will Help You Excel Bachelor’s degree in computer science, Engineering, or a related field. Strong understanding of distributed data processing platforms like Databricks and BigQuery. Proficiency in Python, PySpark, and SQL programming languages. Experience with performance optimization for large datasets. Strong debugging and problem-solving skills. Fundamental knowledge of cloud services, preferably Azure or GCP. Excellent communication and teamwork skills. Nice To Have Experience in data migration projects. Understanding of technologies like Delta Lake/warehouse. About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

About Credit Saison India: Established in 2019, CS India is one of the country’s fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs. Its tech-enabled model coupled with underwriting capability facilitates lending at scale, meeting India’s huge gap for credit, especially with underserved and under penetrated segments of the population. Credit Saison India is committed to growing as a lender and evolving its offerings in India for the long-term for MSMEs, households, individuals and more. CS India is registered with the Reserve Bank of India (RBI) and has an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings. Currently, CS India has a branch network of 45 physical offices, 1.2 million active loans, an AUM of over US$1.5B and an employee base of about 1,000 people. Credit Saison India (CS India) is part of Saison International, a global financial company with a mission to bring people, partners and technology together, creating resilient and innovative financial solutions for positive impact. Across its business arms of lending and corporate venture capital, Saison International is committed to being a transformative partner in creating opportunities and enabling the dreams of people. Based in Singapore, over 1,000 employees work across Saison’s global operations spanning Singapore, India, Indonesia, Thailand, Vietnam, Mexico, Brazil. Saison International is the international headquarters (IHQ) of Credit Saison Company Limited, founded in 1951 and one of Japan’s largest lending conglomerates with over 70 years of history and listed on the Tokyo Stock Exchange. The Company has evolved from a credit-card issuer to a diversified financial services provider across payments, leasing, finance, real estate and entertainment. Roles & Responsibilities: Define and drive the long-term AI engineering strategy and roadmap aligned with the company’s business goals and innovation vision, focusing on scalable AI and machine learning solutions including Generative AI. Lead, mentor, and grow a high-performing AI engineering team, fostering a culture of innovation, collaboration, and technical excellence. Collaborate closely with product, data science, infrastructure, and business teams to identify AI use cases, design end-to-end AI solutions, and integrate them seamlessly into products and platforms. Oversee the architecture, development, deployment, and continuous improvement of AI/ML models and systems, ensuring scalability, robustness, and real-time performance. Own the full AI/ML lifecycle including data strategy, model development, validation, deployment, monitoring, and retraining pipelines. Evaluate and incorporate state-of-the-art AI technologies, frameworks, and external AI services (e.g., APIs, pre-trained models) to accelerate delivery and enhance capabilities. Establish and enforce engineering standards, best practices, and observability tools (e.g., MLflow, Langsmith) for model governance, performance tracking, and compliance with data privacy and security requirements. Collaborate with infrastructure and DevOps teams to design and maintain cloud infrastructure optimized for AI workloads, including GPU acceleration and MLOps automation. Manage project timelines, resource allocation, and cross-team coordination to ensure timely delivery of AI initiatives. Stay abreast of emerging AI trends, research, and tools to continuously evolve the AI engineering function. Required Skills & Qualifications: 10 to 15 years of experience in AI, machine learning, or data engineering roles, with at least 8 years in leadership or managerial positions Bachelor’s, Master’s, or PhD degree from a top-tier college in Computer Science, Statistics, Mathematics, or related quantitative fields is strongly preferred. Proven experience leading AI engineering teams and delivering production-grade AI/ML systems at scale. Strong expertise in machine learning algorithms, deep learning, NLP, computer vision, and Generative AI technologies. Hands-on experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, Keras, Hugging Face Transformers, LangChain, MLflow, and related tools. Solid understanding of data engineering concepts, ETL pipelines, and working knowledge of distributed computing frameworks (Spark, Hadoop). Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker). Familiarity with software engineering best practices including CI/CD, version control (Git), and microservices architecture. Strong problem-solving skills with a product-oriented mindset and ability to translate business needs into technical solutions. Excellent communication skills to collaborate effectively across technical and non-technical teams. Experience in AI governance, model monitoring, and compliance with data privacy/security standards. Preferred Qualifications: Experience building or managing ML platforms or MLOps pipelines. Knowledge of NoSQL databases (MongoDB, Cassandra) and real-time data processing. Prior exposure to AI in specific domains like banking, finance and credit experience is a strong plus. This role offers the opportunity to lead AI innovation at scale, shaping the future of AI-powered products and services in a fast-growing, technology-driven environment.

Company Description MarsDevs is a remote-first, offshore digital product development company based in India. We specialize in building MVPs, Mobile and Web Applications, SaaS Products, and vertical solutions for SMBs. With a track record of delivering over 60 solutions in 10 countries and 12 different industry verticals, we focus on quality code, speed, and lasting technical architectures. Responsibilities: Build and scale Retrieval-Augmented Generation (RAG) systems. Fine-tune LLMs for specific use cases and improve performance. Develop multi-agent systems using LangChain/LangGraph or other equivalent tools Work with vector databases and scale them using metadata strategies. Optimize and deploy transformer-based models. Handle large datasets and design efficient data pipelines. Address LLM limitations with prompt engineering and fallback logic. Collaborate with product, data, and engineering teams to ship AI solutions. Stay updated on new tools, research, and apply best-fit solutions. Must-Have: Should have 4+ years of experience Experience building large-scale RAG systems. Hands-on with LLM fine-tuning and transformers. Strong with vector DBs (Pinecone, FAISS, etc.) and metadata filtering. Proven experience with multi-agent AI systems. Solid Python skills; good grasp of ML fundamentals. Experience with LangChain, LangGraph. Comfortable deploying on AWS/GCP/Azure. Knows LLM limitations and practical workarounds. NLP and conversational AI experience. Nice-to-Have: Knowledge of MLOps, model deployment workflows. Familiarity with Spark, Ray, or other distributed systems.

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As Asia Pacific Unlocking Potential (UP) Director, you will shape and drive the regional UP strategy, accountable for the full Unlocking Potential portfolio including Diversity, Inclusion, Mental Health, Wellbeing and Flex@BCG. Reporting into the AP Consulting Team Executive Director, you will play a critical leadership role in steering global UP transformation efforts, influencing stakeholders within and beyond the function, and embedding programs that enable all BCGers to thrive. You will represent Asia Pacific in shaping global UP direction and collaborate with AP systems to embed initiatives in a way which strengthens the overall people agenda – deeply understanding and navigating with nuance the complexity of diverse system contexts. This is a senior, visible leadership role requiring strategic direction-setting, transformation leadership and skill in influencing stakeholders at all levels of the firm. You will define regional priorities, lead multi-pillar change initiatives and hold accountability for delivering tangible outcomes to strengthen employee experience across Asia Pacific. You’ll work closely with AP leadership, global UP colleagues, system teams, and people functions beyond UP to shape a culture where all BCGers can thrive and perform at their best. Your remit includes orchestrating the UP network across AP systems to drive a collective agenda, facilitate ideation and ensure best-practice sharing across systems and regions. With your team, you are also accountable for strengthening our AP-wide Diversity networks (i.e., Women@BCG, Pride@BCG, Accessibility@BCG); including creating cross-AP linkages and driving network-specific programming and change efforts – e.g., relevant conferences, Project Sandy, Segment of One, Pride mentorship and more. Key Responsibilities Set and own the regional UP strategy, spanning diversity, inclusion, mental health, wellbeing and flexibility—anchored in business priorities and evolving workforce needs Lead transformational change efforts, identifying opportunities for impact and embedding lasting change across systems in partnership with senior stakeholders Influence at the highest levels (UP MDPs, System Leaders, RPALs, People Chairs, HRDs), fostering buy-in and aligning on outcomes Shape and represent AP’s voice in global forums, co-designing UP direction and translating global frameworks into regionally relevant execution Ensure delivery of priority cross-system projects, e.g. including mental health enablement, sustainable peak performance, inclusive leadership development, sponsorship programs Act as a sparring partner to system and people teams, coaching them to elevate local UP agendas and scale best practices, and working together to shape programs that recognise each systems’ distinctive context Oversee data and insight-driven decision-making, leveraging People Survey and KPI analysis in partnership with AP HR Analytics to track progress, inform leadership, and adjust course Ensure effective delivery of flagship initiatives, including the bi-annual AP Pride@BCG Conference and senior women engagement forums What You'll Bring Prior HR or consulting experience (Principal / equivalent level) with 10+ years relevant experience Experience driving cross-functional and regional initiatives Familiarity with mental health, wellbeing, or flexibility programming is a plus Experience working across Asia Pacific systems and with global teams Comfort with evening calls and operating across multiple time zones Who You'll Work With AP Consulting People Team Executive Director (line manager) AP Unlocking Potential Senior Manager – Diversity & Inclusion (direct report) AP CHRO, People Chairs, and System Leadership - Global Unlocking Potential Center of Excellence and regional UP counterparts AP Unlocking Potential MDPs, HRDs, and BST leads - Global, AP and local networks and champions Additional info You are a strategic and commercially-minded leader with a passion for building inclusive, high performing Environments. You Bring Vision And Execution, And Can Convert Complex Ideas Into Lasting Impact. You Thrive In a Matrixed Environment And Operate With High Autonomy, Sound Judgment And Credibility. You Likely Bring Proven success leading transformational initiatives across regions or functions, ideally spanning employee experience, wellbeing, D&I or change enablement A reputation as a trusted advisor to senior leaders, including ability to influence executive decision-making and lead through ambiguity Strong strategic and commercial thinking, with comfort balancing long-term vision and near-term outcomes Ability to embed change at scale, including coaching others and sustaining momentum across systems Skilled in navigating complex, high-stakes stakeholder environments, resolving competing priorities and securing alignment Advanced analytical acumen—confident using data to derive insights, measure impact, and adapt programs Clarity and nuance in communication—able to deliver complex messaging with empathy and authority A collaborative, inclusive leadership style with energy for mentoring and enabling others Experience managing and developing senior talent; able to coach others to lead through complexity and ambiguity Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Experience: 5 to 9 years Must have Skills: Kotlin/Scala/Java Spark SQL Spark Streaming Any cloud (AWS preferable) Kafka /Kinesis/Any streaming services Object-Oriented Programming Hive, ETL/ELT design experience CICD experience (ETL pipeline deployment) Data Modeling experience Good to Have Skills: Git/similar version control tool Knowledge in CI/CD, Microservices Role Objective: Big Data Engineer will be responsible for expanding and optimizing our data and database architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products Roles & Responsibilities: Sound knowledge in Spark architecture and distributed computing and Spark streaming. Proficient in Spark – including RDD and Data frames core functions, troubleshooting and performance tuning. Good understanding in object-oriented concepts and hands on experience on Kotlin/Scala/Java with excellent programming logic and technique. Good in functional programming and OOPS concept on Kotlin/Scala/Java Good experience in SQL Managing the team of Associates and Senior Associates and ensuring the utilization is maintained across the project. Able to mentor new members for onboarding to the project. Understand the client requirement and able to design, develop from scratch and deliver. AWS cloud experience would be preferable. Experience in analyzing, re-architecting, and re-platforming on-premises data warehouses to data platforms on cloud (AWS is preferred) Leading the client calls to flag off any delays, blockers, escalations and collate all the requirements. Managing project timing, client expectations and meeting deadlines. Should have played project and team management roles. Facilitate meetings within the team on regular basis. Understand business requirement and analyze different approaches and plan deliverables and milestones for the project. Optimization, maintenance, and support of pipelines. Strong analytical and logical skills. Ability to comfortably tackling new challenges and learn

Data Engineer Experience: 2 - 4 Years Exp Salary: Competitive Preferred Notice Period : 30 Days Shift : 9:00 AM to 6:00 PM IST Opportunity Type: Office (Gurugram) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python and Airflow and Elasticsearch Trademo (One of Uplers' Clients) is Looking for: Data Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description What will you be doing here? Responsible for the maintenance and growth of a 50TB+ data pipeline serving global SaaS products for businesses, including onboarding new data and collaborating with pre-sales to articulate technical solutions Solves complex problems across large datasets by applying algorithms, particularly within the domains of Natural Language Processing (NLP) and Large Language Models (LLM) Leverage bleeding-edge technology to work with large volumes of complex data Be hands-on in development - Python, Pandas, NumPy, ETL frameworks. Preferred exposure to distributed computing frameworks like Apache Spark , Apache Kafka, Apache Airflow, Elasticsearch Along with individual data engineering contributions, actively help peers and junior team members on architecture and code to ensure the development of scalable, accurate, and highly available solutions Collaborate with teams and share knowledge via tech talks and promote tech and engineering best practices within the team. Requirements: B-Tech/M-Tech in Computer Science from IIT or equivalent Tier 1 Colleges. 3+ years of relevant work experience in data engineering or related roles. Proven ability to efficiently work with a high variety and volume of data (50TB+ pipeline experience is a plus). Solid understanding and preferred exposure to NoSQL databases, including Elasticsearch, MongoDB, and GraphDB. Basic understanding of working within Cloud infrastructure and Cloud Native Apps (AWS, Azure, IBM , etc.). Exposure to core data engineering concepts and tools: Data warehousing, ETL processes, SQL, and NoSQL databases. Great problem-solving ability over a larger set of data and the ability to apply algorithms, with a plus for experience using NLP and LLM. Willingness to learn and apply new techniques and technologies to extract intelligence from data, with prior exposure to Machine Learning and NLP being a significant advantage. Sound understanding of Algorithms and Data Structures. Ability to write well-crafted, readable, testable, maintainable, and modular code. Desired Profile: A hard-working, humble disposition. Desire to make a strong impact on the lives of millions through your work. Capacity to communicate well with stakeholders as well as team members and be an effective interface between the Engineering and Product/Business team. A quick thinker who can adapt to a fast-paced startup environment and work with minimum supervision What we offer: At Trademo, we want our employees to be comfortable with their benefits so they focus on doing the work they love. Parental leave - Maternity and Paternity Health Insurance Flexible Time Offs Stock Options How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Trademo is a Global Supply Chain Intelligence SaaS Company, headquartered in Palo-Alto, US. Trademo collects public and private data on global trade transactions, sanctioned parties, trade tariffs, ESG and other events using its proprietary algorithms. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) 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!

Full‑time · On‑site (Vashi, Navi Mumbai) About Us Swarna Bharat TV is the soon‑to‑launch flagship media venture of Arka Apex Pvt. Ltd. From our Navi Mumbai studio we craft high‑quality, ~15‑minute stories that celebrate Bharatiya history, culture, spirituality, and science. Through 9+ original shows rooted in Sanātana Dharma, we aim to spark a new golden era for India and become the storytellers of Bharat in the digital age. About the Role We’re hiring an Operations & Production Coordinator —a street‑smart multitasker who will own studio logistics, office administration, and the first round of hiring calls. This crucial role keeps our shoots, spreadsheets, and talent pipeline flowing so the creative team can focus purely on storytelling and growth. You’ll also double as our on‑set production manager when cameras roll. Key Responsibilities 1. Talent Acquisition & HR Coordination Conduct structured screening calls with prospective candidates, demonstrating fluent English communication and using the approved question script. Dispatch test assignments, track submissions and maintain an up‑to‑date candidate pipeline in Google Sheets. 2. Studio & Equipment Management Maintain the master equipment log and perform scheduled weekly health checks on all cameras, lights and accessories. Prepare sets, props and crew refreshments prior to every shoot day (typically 4–5 per month). 3. Production Logistics Draft detailed call sheets, crew rosters and petty‑cash floats for each shoot. Liaise with actors, freelancers and rental vendors, resolving on‑set issues quickly and professionally. 4. Office Administration & Finance Record all expenses within 24 hours, reconcile petty cash and process vendor payments in coordination with accounting. Manage calendars, travel bookings, inventory levels and service vendors to ensure uninterrupted operations. 5. Team & Leadership Support + Budget Oversight Facilitate clear communication across WhatsApp/Slack channels for editing, research and studio teams. Track shoot budgets and daily expenses, highlighting variances and recommending corrective actions. Provide day-to-day assistance to founders and creative directors—calendar blocks, follow-ups, and quick problem-solving—to remove low-leverage tasks from their plates. 90‑Day Success Metrics 100 % equipment log updated by close of business every Friday. Expenses posted within 24 hours; mismatch rate maintained below 2 %. Candidate shortlist prepared within 48 hours of any new JD. Shoot‑day readiness score of ≥ 8/10 on internal checklist. Must‑Haves Graduate with 2–3 yrs experience in studio operations, production support or related administration. Fluent English communicator (written & verbal); Hindi and Marathi proficiency is a welcome plus. Advanced Google Sheets/Excel skills; comfortable with Word, Calendar and tight daily timelines. Hands‑on understanding of video‑production workflows and the confidence to step in as on‑set production manager. Street‑smart negotiator able to juggle vendors, freelance crew and last‑minute fixes. Proven ownership of budgets, petty cash and expense tracking, with meticulous attention to detail and demonstrated respect for confidential documents and personal data. Strong cross‑team coordination skills and a proactive, problem‑solving mindset. Willing to commute to the Vashi studio 6 days/week, handle early call‑times, and step in for occasional weekend shoots. Nice‑to‑Haves Prior media‑house or studio experience. Basic GST/petty‑cash know‑how. Passion for Indian heritage stories. Why Join Us Mission that matters: reconnect millions with Bharatiya culture while building a first‑of‑its‑kind digital studio. Direct impact on both production and operations as part of the founding core team—your systems will shape how Swarna Bharat scales. Annual learning allowance to upskill in project management, production tech or any area that sharpens your craft. Growth track: advance to Senior Production & Operations Manager within 12–18 months as our shoot volume and team size expand. Wellness‑focused off‑sites steeped in Indian cultural experiences. How to Apply Apply via LinkedIn or email us a short (< 50 words) note on why this role excites you to hr@thearka.in with the subject line “Ops‑Prod Coordinator – Swarna Bharat.”

Experience - 5 - 8 years Must Have Skills: Azure Databricks Azure Data Factory PySpark Spark - SQL ADLS Responsibilities: Design and build data pipelines using Spark-SQL and PySpark in Azure Databricks Design and build ETL pipelines using ADF Build and maintain a Lakehouse architecture in ADLS / Databricks. Perform data preparation tasks including data cleaning, normalization, deduplication, type conversion etc. Work with DevOps team to deploy solutions in production environments. Control data processes and take corrective action when errors are identified. Corrective action may include executing a work around process and then identifying the cause and solution for data errors. Participate as a full member of the global Analytics team, providing solutions for and insights into data related items. Collaborate with your Data Science and Business Intelligence colleagues across the world to share key learnings, leverage ideas and solutions and to propagate best practices. You will lead projects that include other team members and participate in projects led by other team members. Apply change management tools including training, communication and documentation to manage upgrades, changes and data migrations.

What you will do: ● Partner with ML Architects and data scientists to drive POCs to build a scalable, next generation model development, model management and governance infrastructure in Cloud ● Be a thought leader and champion for adoption of new cloud-based database technologies and enable migration to new cloud-based modeling stack ● Collaborate with other data scientists and team leads to define project requirements & build the next generation data source ingestion, ETL, data pipelining, data warehousing solutions in Cloud ● Build data-engineering solutions by developing strong understanding of business and product data needs ● Manage environment security permissions and enforce role based compliance ● Build expert knowledge of the various data sources brought together for audience propensities solutions – survey/panel data, 3rd-party data (demographics, psychographics, lifestyle segments), media content activity (TV, Digital, Mobile), and product purchase or transaction data and develop solutions for seamless ingestion and process of the data ● Resolve defects/bugs during QA testing, pre-production, production, and post-release patches ● Contribute to the design and architecture of services across the data landscape ● Participation in development of the integration team, contributing to reviews of methodologies, standards, and processes ● Contribute to comprehensive internal documentation of designs and service components. Required Skills: ● Background in data pipelining, warehousing, ETL development solutions for data science and other Big Data applications ● Experience with distributed, columnar and/or analytic oriented databases or distributed data processing frameworks ● Minimum of 4 years of experience with Cloud databases –Snowflake, Azure SQL database, AWS Redshift, Google Cloud SQL or similar. Experience with NoSQL databases such as mongoDB, Cassandra or similar is nice to have ● Snowflake and/or Databricks certification preferred ● Minimum of 3 years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, data lake and data warehouse solutions ● Minimum of 3 years of hands-on experience in Big Data technologies such as Hadoop, Spark, PySpark, Spark/SparkSQL, Hive, Pig, Oozie and streaming technologies such as Kafka, Spark Streaming Ingestion API, Unix shell/Perl scripting etc. Skill set Must Have: Snowflake, Azure SQL database, AWS Redshift, Google Cloud SQL, ETL, data warehouse, big data, git hub, ML Algorithm, databricks Year Of Experience- 5-10 years Work Mode: Hybrid Shift Time: EMEA Shift(1:00 PM-10:00 PM) Location: PUNE

Key Skills We’re Looking For Machine Learning Mastery Strong experience with regression, classification, clustering, regularization, and model tuning. Familiarity with CNNs, RNNs, Transformers is a plus. Python Programming Proficiency in NumPy, Pandas, Scikit-learn. Ability to build ML models from scratch and write clean, production-grade code. SQL & Data Handling Able to query large datasets efficiently and apply rigorous data validation. Statistical & Analytical Thinking Solid grasp of hypothesis testing, confidence intervals, and interpreting results in business context. ML System Design Experience building ML pipelines and deploying models in production (REST APIs, batch jobs, etc.). Understanding of monitoring and retraining models post-deployment. 🚀 Bonus If You Have: Experience with distributed data processing (Spark, Dask, etc.) MLOps tools like MLflow, Airflow, or SageMaker Exposure to cloud platforms (AWS, Azure, GCP)

Data Engineer Experience: 2 - 4 Years Exp Salary: Competitive Preferred Notice Period : 30 Days Shift : 9:00 AM to 6:00 PM IST Opportunity Type: Office (Gurugram) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python and Airflow and Elasticsearch Trademo (One of Uplers' Clients) is Looking for: Data Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description What will you be doing here? Responsible for the maintenance and growth of a 50TB+ data pipeline serving global SaaS products for businesses, including onboarding new data and collaborating with pre-sales to articulate technical solutions Solves complex problems across large datasets by applying algorithms, particularly within the domains of Natural Language Processing (NLP) and Large Language Models (LLM) Leverage bleeding-edge technology to work with large volumes of complex data Be hands-on in development - Python, Pandas, NumPy, ETL frameworks. Preferred exposure to distributed computing frameworks like Apache Spark , Apache Kafka, Apache Airflow, Elasticsearch Along with individual data engineering contributions, actively help peers and junior team members on architecture and code to ensure the development of scalable, accurate, and highly available solutions Collaborate with teams and share knowledge via tech talks and promote tech and engineering best practices within the team. Requirements: B-Tech/M-Tech in Computer Science from IIT or equivalent Tier 1 Colleges. 3+ years of relevant work experience in data engineering or related roles. Proven ability to efficiently work with a high variety and volume of data (50TB+ pipeline experience is a plus). Solid understanding and preferred exposure to NoSQL databases, including Elasticsearch, MongoDB, and GraphDB. Basic understanding of working within Cloud infrastructure and Cloud Native Apps (AWS, Azure, IBM , etc.). Exposure to core data engineering concepts and tools: Data warehousing, ETL processes, SQL, and NoSQL databases. Great problem-solving ability over a larger set of data and the ability to apply algorithms, with a plus for experience using NLP and LLM. Willingness to learn and apply new techniques and technologies to extract intelligence from data, with prior exposure to Machine Learning and NLP being a significant advantage. Sound understanding of Algorithms and Data Structures. Ability to write well-crafted, readable, testable, maintainable, and modular code. Desired Profile: A hard-working, humble disposition. Desire to make a strong impact on the lives of millions through your work. Capacity to communicate well with stakeholders as well as team members and be an effective interface between the Engineering and Product/Business team. A quick thinker who can adapt to a fast-paced startup environment and work with minimum supervision What we offer: At Trademo, we want our employees to be comfortable with their benefits so they focus on doing the work they love. Parental leave - Maternity and Paternity Health Insurance Flexible Time Offs Stock Options How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Trademo is a Global Supply Chain Intelligence SaaS Company, headquartered in Palo-Alto, US. Trademo collects public and private data on global trade transactions, sanctioned parties, trade tariffs, ESG and other events using its proprietary algorithms. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) 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!

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities Create Solution Outline and Macro Design to describe end to end product implementation in Data Platforms including, System integration, Data ingestion, Data processing, Serving layer, Design Patterns, Platform Architecture Principles for Data platform Contribute to pre-sales, sales support through RfP responses, Solution Architecture, Planning and Estimation Contribute to reusable components / asset / accelerator development to support capability development Participate in Customer presentations as Platform Architects / Subject Matter Experts on Big Data, Azure Cloud and related technologies Participate in customer PoCs to deliver the outcomes Participate in delivery reviews / product reviews, quality assurance and work as design authority. Preferred Education Master's Degree Required Technical And Professional Expertise Experience in designing of data products providing descriptive, prescriptive, and predictive analytics to end users or other systems Experience in data engineering and architecting data platforms Experience in architecting and implementing Data Platforms Azure Cloud Platform Experience on Azure cloud is mandatory (ADLS Gen 1 / Gen2, Data Factory, Databricks, Synapse Analytics, Azure SQL, Cosmos DB, Event hub, Snowflake), Azure Purview, Microsoft Fabric, Kubernetes, Terraform, Airflow Experience in Big Data stack (Hadoop ecosystem Hive, HBase, Kafka, Spark, Scala PySpark, Python etc.) with Cloudera or Hortonworks. Preferred Technical And Professional Experience Experience in architecting complex data platforms on Azure Cloud Platform and On-Prem Experience and exposure to implementation of Data Fabric and Data Mesh concepts and solutions like Microsoft Fabric or Starburst or Denodo or IBM Data Virtualisation or Talend or Tibco Data Fabric Exposure to Data Cataloging and Governance solutions like Collibra, Alation, Watson Knowledge Catalog, dataBricks unity Catalog, Apache Atlas, Snowflake Data Glossary etc.

Data Engineer Experience: 2 - 4 Years Exp Salary: Competitive Preferred Notice Period : 30 Days Shift : 9:00 AM to 6:00 PM IST Opportunity Type: Office (Gurugram) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python and Airflow and Elasticsearch Trademo (One of Uplers' Clients) is Looking for: Data Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description What will you be doing here? Responsible for the maintenance and growth of a 50TB+ data pipeline serving global SaaS products for businesses, including onboarding new data and collaborating with pre-sales to articulate technical solutions Solves complex problems across large datasets by applying algorithms, particularly within the domains of Natural Language Processing (NLP) and Large Language Models (LLM) Leverage bleeding-edge technology to work with large volumes of complex data Be hands-on in development - Python, Pandas, NumPy, ETL frameworks. Preferred exposure to distributed computing frameworks like Apache Spark , Apache Kafka, Apache Airflow, Elasticsearch Along with individual data engineering contributions, actively help peers and junior team members on architecture and code to ensure the development of scalable, accurate, and highly available solutions Collaborate with teams and share knowledge via tech talks and promote tech and engineering best practices within the team. Requirements: B-Tech/M-Tech in Computer Science from IIT or equivalent Tier 1 Colleges. 3+ years of relevant work experience in data engineering or related roles. Proven ability to efficiently work with a high variety and volume of data (50TB+ pipeline experience is a plus). Solid understanding and preferred exposure to NoSQL databases, including Elasticsearch, MongoDB, and GraphDB. Basic understanding of working within Cloud infrastructure and Cloud Native Apps (AWS, Azure, IBM , etc.). Exposure to core data engineering concepts and tools: Data warehousing, ETL processes, SQL, and NoSQL databases. Great problem-solving ability over a larger set of data and the ability to apply algorithms, with a plus for experience using NLP and LLM. Willingness to learn and apply new techniques and technologies to extract intelligence from data, with prior exposure to Machine Learning and NLP being a significant advantage. Sound understanding of Algorithms and Data Structures. Ability to write well-crafted, readable, testable, maintainable, and modular code. Desired Profile: A hard-working, humble disposition. Desire to make a strong impact on the lives of millions through your work. Capacity to communicate well with stakeholders as well as team members and be an effective interface between the Engineering and Product/Business team. A quick thinker who can adapt to a fast-paced startup environment and work with minimum supervision What we offer: At Trademo, we want our employees to be comfortable with their benefits so they focus on doing the work they love. Parental leave - Maternity and Paternity Health Insurance Flexible Time Offs Stock Options How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Trademo is a Global Supply Chain Intelligence SaaS Company, headquartered in Palo-Alto, US. Trademo collects public and private data on global trade transactions, sanctioned parties, trade tariffs, ESG and other events using its proprietary algorithms. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) 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!

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Be part of a team that is transforming BCG into a bionic company! We are in the early stages of building a centralized Business Intelligence & Analytics function that will simplify and automate information delivery—providing advanced insights and analysis to support decision making. To date, the team has launched and operationalized several global scale products and dashboards, enhancing how our leaders engage in information to manage the business. The next wave of digital reporting is underway which will help to unlock further value for BCG’s leadership and functions with best-in-class business intelligence and analytics. The Data Visualization Analyst will work as an integral part of an Agile team. You will be responsible for developing, enhancing and maintaining a suite of dashboard products that will be leveraged globally by our business leaders and executive teams. Working as part of an Agile team, this role will interact with the business to understand use cases, create prototypes, iterate on the design and launch of digital reporting and analytic products. What You'll Bring 3–5+ years of experience developing with Tableau (Certification preferred: Qualified Associate or Certified Professional). Proficient in dashboard/report design, development, and support in a business context. Experience with legacy report profiling and building modern replacements with enhanced user experiences and insights. Familiarity with Tableau Server and database-level security implementations. Practical experience using generative AI tools (ex: ChatGPT) to automate repetitive tasks, streamline analysis workflows, or improve productivity. Familiarity with components of the modern data stack such as Snowflake, dbt, or Airflow, and a willingness to adapt as data infrastructure evolves. Experience building or contributing to lightweight data applications (ex: with Streamlit or JavaScript/React-based interfaces) to enhance business decision-making. Strong Proficiency in SQL and Python; experience with data prep tools like Alteryx and Tableau Prep. Exposure to other BI tools such as Power BI, Sigma, or Looker. Basic finance knowledge (P&L, Balance Sheet, etc.) preferred. Experience working within Agile development environments and ceremonies. Who You'll Work With As a member of the team, you will interact extensively with a diverse range of stakeholders from across the business, both geographically and functionally. The role sits within the overall Global Enterprise Service Team, coordinating and working with our Analysis, Planning, and Reporting teams will play a large part in this role. Additional info YOU’RE GOOD AT Business And Analytic Skills Developing insightful, visually compelling, and engaging dashboards that support decision making Rapidly explore, transform, and synthesize data from multiple sources to identify optimal data structures for reporting. Continuously improve reporting products to ensure performance, scalability, and security. Work collaboratively in a fast-paced agile environment with both technical and non-technical stakeholders. Maintain a customer-focused approach by deeply understanding user needs and feedback. Communicate clearly and transparently across all levels of the organization. Seek opportunities to innovate and improve processes or tools for faster and more effective outcomes. Communication, Interpersonal And Teaming Skills Communicates proactively and clearly with stakeholders across all levels and geographies; keeps partners informed and engaged throughout the project lifecycle. Demonstrates strong ownership of projects — from planning through execution — and actively drives work forward rather than waiting for direction. Collaborates positively and builds strong, trust-based relationships within and across teams, including in multi-time-zone environments. Challenges assumptions constructively and asks thoughtful questions to deepen understanding and improve business outcomes. Navigates changing priorities and diverse audiences with adaptability, tact, and professionalism. Shows persistence and resilience in advancing ideas, solving problems, and delivering results. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS’s Platform Development team designs, implements, tests and supports ZS’s ZAIDYN Platform which helps drive superior customer experiences and revenue outcomes through integrated products & analytics. Whether writing distributed optimization algorithms or advanced mapping and visualization interfaces, you will have an opportunity to solve challenging problems, make an immediate impact and contribute to bring better health outcomes. What you'll do: As part of our full-stack product engineering team, you will build multi-tenant cloud-based software products/platforms and internal assets that will leverage cutting edge based on the Amazon AWS cloud platform. Pair program, write unit tests, lead code reviews, and collaborate with QA analysts to ensure you develop the highest quality multi-tenant software that can be productized. Work with junior developers to implement large features that are on the cutting edge of Big Data Be a technical leader to your team, and help them improve their technical skills Stand up for engineering practices that ensure quality products: automated testing, unit testing, agile development, continuous integration, code reviews, and technical design Work with product managers and architects to design product architecture and to work on POCs Take immediate responsibility for project deliverables Understand client business issues and design features that meet client needs Undergo on-the-job and formal trainings and certifications, and will constantly advance your knowledge and problem solving skills What you'll bring: 1-3 years of experience in developing software, ideally building SaaS products and services Bachelor's Degree in CS, IT, or related discipline Strong analytic, problem solving, and programming ability Good hands on to work with AWS services (EC2, EMR, S3, Serverless stack, RDS, Sagemaker, IAM, EKS etc) Experience in coding in an object-oriented language such as Python, Java, C# etc. Hands on experience on Apache Spark, EMR, Hadoop, HDFS, or other big data technologies Experience with development on the AWS (Amazon Web Services) platform is preferable Experience in Linux shell or PowerShell scripting is preferable Experience in HTML5, JavaScript, and JavaScript libraries is preferable Good to have Pharma domain understanding Initiative and drive to contribute Excellent organizational and task management skills Strong communication skills Ability to work in global cross-office teams ZS is a global firm; fluency in English is required Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

Your responsibilities as a Media Performance Analyst (Programmatic) –  The Programmatic Analyst will be there to provide campaign direction on the aspects of performance on day-to-day basis and assisting agency counterparts on their deliverables  Handling daily reporting, pacing, screenshots and performance, including troubleshooting  Basic experience on DSPs (Dv360/TTD/Amobee/Verizon Media, etc.)  Responsible for delivering all projects on time with 100% quality  Apply expert level understanding to troubleshoot issues to ensure minimal involvement of onshore  Continuous efforts on getting hands on experience of all the tasks of analytics support  Deliver regular reports of campaign results, including performance analysis and evaluation of KPIs  Focus on improving the efficiency on daily task and skills of MS excel over different Platform  Provide in-depth quality assurance of all projects  Eager to learn new skills and enhancing campaign performance  Demonstrating diligence, attention to detail, and adherence to best practices  Preparing Wrap-up reports You will fit right in if you have –  6 months – 2 years experience at an advertising agency, publisher, or ad tech provider  BSc degree in Marketing, Digital technologies, Business management, or relevant field  High degree of comfort with MS Office, MS Excel, MS PowerPoint etc.  Basic Knowledge of Digital Marketing  Equivalent in work experience. Knowledge of Programmatic Media Buying. Basic experience on different DSPs: DV360/TTD/ Amazon  Strong knowledge of DSP platforms and active campaign optimization experience  The ability to organize and manage detailed work  Strong analytical thinking and mathematical skills  Excellent communication and writing skills  Great interpersonal and Willingness to learn  Attention to detail If you are excited for –  Opportunities to grow with Publicis Groupe that believes in Power of One. We will help you partner with our clients across the globe in various industries  Diverse team & progressive work environment  A place where learning never stops. We ensure you get trained on multiple platforms and domains which enables you to have cross functional experience within the organization  Empowering your ambitions through our dedicated Total Rewards Program, competitive pay and benefits package YOU are the one we’re looking for Someone who truly understand what it takes to serve clients beyond expectations: crackone-off client challenges. Develop insights. Spark breakthrough creative ideas. Publicis Global Delivery is proud to be an equal opportunity employer. Eligible applicants will be considered without regard to race, colour, religion, sexual orientation, gender identity, ethnicity, disability status, marital status or any other characteristic protected by applicable local laws, regulations, and ordinances.

Job Title : Engineering Manager(Application) Location: Bangalore, India Department: Engineering Reports to: VP Engineering We are currently seeking an experienced Engineering Manager with a robust technical background and a track record of hands-on development, particularly in technologies such as Apache Spark and Kubernetes. The ideal candidate will possess profound coding skills in Scala and have a history of leading design innovations that significantly enhance application performance, system availability, and elastic scaling. As a strict yet supportive manager and mentor, this role demands a balance of driving on-time, high-quality releases, while fostering an environment of growth and development among team members. Roles & responsibilities: Technical Leadership: Guide the engineering team in the adoption and mastery of specific tech stacks like Apache Spark, Reactjs, Flink, Kubernetes, and Scylla DB. Ensure the team is updated with the latest technological advancements and best practices. Hands-on Development: Maintain an active role in coding, particularly in Scala, and lead by example. Participate in and lead design innovations that result in significant improvements in application performance, system availability, and the ability to scale elastically. Project Management: Oversee multiple projects from inception to completion, ensuring that all deliverables meet the highest quality standards and are delivered on schedule. Implement and refine project management processes to streamline workflow and increase efficiency. Mentorship and Team Development: Serve as a strict yet supportive mentor to the engineering team. Foster professional growth and development by setting clear expectations, providing regular feedback, and conducting performance evaluations. Quality Assurance: Uphold high standards for code quality, documentation, and testing. Implement best practices for continuous integration and deployment and ensure that all releases meet rigorous quality assurance criteria. Collaboration and Communication: Facilitate effective communication within the engineering team and across departments. Work closely with product managers, designers, and other stakeholders to ensure alignment of goals and seamless collaboration. Requirements: Bachelor's or Master's degree in Computer Science from top institutions in India At least 12 years of experience in software development, with a minimum of 5 years in a leadership role managing 6-8 direct reportees. Extensive hands-on experience with technologies such as Scala, Reactjs, Apache Spark, Flink, Kubernetes, and Scylla DB. Proven track record of being an open-source committer for Apache Spark: this is a must-have. Proven track record as a hands-on coder in Scala, with preferred knowledge in AI or machine learning. Demonstrated ability to lead teams to deliver on-time and high-quality software releases. This is a must-have. Strong project management skills, with experience in agile methodologies. Exceptional problem-solving abilities and a keen attention to detail. Excellent verbal and written communication skills. Personal Attributes: Strategic Thinker: Able to see the big picture and develop long-term strategies while also paying attention to detail. Problem Solver: Capable of troubleshooting and resolving issues quickly and efficiently. Adaptable: Able to thrive in a fast-paced, dynamic environment and manage changing priorities. Collaborative: Works well with others and can build strong relationships with team members, and stakeholders. Creative : Brings innovative ideas to the table and is always looking for new ways to engage clients and improve sales strategies. Key Metrics to Track: Team Velocity: Measures the team's productivity and output over time. On-time Delivery : Tracks the percentage of projects or features delivered on schedule. Code Quality : Assesses code reviews, defect rates, and technical debt. Team Retention and Satisfaction: Evaluates employee turnover and satisfaction levels. System Reliability and Uptime : Measures downtime and system performance. Innovation and Improvement : Assesses contributions to new ideas, processes, or technologies. Cross-functional Collaboration : Evaluates effective communication and collaboration with other departments. Introducing Tookitak i Tookitaki is positioned as one of the most intelligent financial crime prevention platforms available. This distinction is driven by our innovative use of collective intelligence and a federated approach. Our Anti-Financial Crime (AFC) Ecosystem leverages an expert network that continuously updates and shares knowledge, acting as a force multiplier. This collaborative model significantly outperforms the siloed approaches used by our competitors, ensuring our clients benefit from the most comprehensive and up-to-date financial crime prevention strategies. Our Anti-Financial Crime (AFC) Ecosystem leverages a vast, community-driven repository of financial crime patterns, continuously updated by industry experts. Leading digital banks and payment platforms across Asia, including GXS, Tencent, Maya trust this approach to stay protected against evolving money laundering and fraud tactics. By joining this ecosystem, our clients can benefit from the collective intelligence of top industry players, ensuring unparalleled protection.