Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

Job Description Job ID LEADS013513 Employment Type Regular Work Style hybrid Location Noida,UP,India Role Lead Software Engineer Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on. At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all. Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you. We are looking for a Lead Software Engineer to join our dynamic team. This role provides an opportunity to lead projects and contribute to high-impact software solutions that are used by enterprises and users worldwide. As a Senior Software Engineer, you will be responsible for the design, development, testing, deployment, and maintenance of complex software systems, as well as mentoring junior engineers. You will work in a collaborative environment, contributing to the technical foundation behind our flagship products and services. We are seeking engineers with diverse specialties and skills to join our dynamic team to innovate and solve complex challenges. Our team is looking for strong talent with expertise in the following areas: Front End UI Engineer (UI/UX design principles, responsive design, JavaScript frameworks) DevOps Engineer (CI/CD Pipelines, IAC proficiency, Containerization/Orchestration, Cloud Platforms) Back End Engineer (API Development, Database Management, Security Practices, Message Queuing) AI/ML Engineer (Machine Learning Frameworks, Data Processing, Algorithm Development, Big Data Technologies, Domain Knowledge) Responsibilities: Software Development: Write clean, maintainable, and efficient code or various software applications and systems. Technical Leadership: Contribute to the design, development, and deployment of complex software applications and systems, ensuring they meet high standards of quality and performance. Project Management: Manage execution and delivery of features and projects, negotiating project priorities and deadlines, ensuring successful and timely completion, with quality. Architectural Design: Participate in design reviews with peers and stakeholders and in the architectural design of new features and systems, ensuring scalability, reliability, and maintainability. Code Review: Diligent about reviewing code developed by other developers, provide feedback and maintain a high bar of technical excellence to ensure code is adhering to industry standard best practices like coding guidelines, elegant, efficient and maintainable code, with observability built from ground up, unit tests etc. Testing: Build testable software, define tests, participate in the testing process, automate tests using, tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide. Service Health and Quality: Maintain the health and quality of services and incidents, proactively identifying and resolving issues. Utilize service health indicators and telemetry for action providing recommendations to optimize performance. Conduct thorough root cause analysis and drive the implementation of measures to prevent future recurrences. Dev Ops Model: Understanding of working in a DevOps Model. Taking ownership from working with product management on requirements to design, develop, test, deploy and maintain the software in production. Documentation: Properly document new features, enhancements or fixes to the product, contributing to training materials. Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 6+ years of professional software development experience. Deep expertise in one or more programming languages such as C, C++, C#, .NET, Python, Java, or JavaScript. Extensive experience with software development practices and design patterns. Proficiency with version control systems like GitHub and bug/work tracking systems like JIRA. Understanding of cloud technologies and DevOps principles. Preferred Qualifications: Experience with cloud platforms like Azure, AWS, or GCP. Familiarity with CI/CD pipelines and automation tools. Experience with test automation frameworks and tools. Knowledge of agile development methodologies. Familiarity with developing accessible technologies. Dedicated to diversity and inclusion initiatives. Excellent communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. Where we’re going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com. Where we’re going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities? Join us! We'll love to explore more about you if you have Qualification: B.E/B.Tech/M.E/M.Tech/PhD from tier 1 engineering institutes with relevant work experience with a top technology company in computer science or mathematics-related fields with 3-5 years of experience in machine learning and NLP. Knowledge and practical experience in solving NLP problems in areas such as text classification, entity tagging, information retrieval, question-answering, natural language generation, clustering, etc. 3+ years of experience working with LLMs in large-scale environments. Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs. Knowledge and hands-on experience with Transformer-based Language Models like BERT, DeBERTa, Flan-T5, Mistral, Llama, etc. Deep familiarity with internals of at least a few Machine Learning algorithms and concepts. Experience with Deep Learning frameworks like Pytorch and common machine learning libraries like scikit-learn, numpy, pandas, NLTK, etc. Experience with ML model deployments using REST API, Docker, Kubernetes, etc. Knowledge of cloud platforms (AWS/Azure/GCP) and their machine learning services is desirable. Knowledge of basic data structures and algorithms. Knowledge of real-time streaming tools/architectures like Kafka, Pub/Sub is a plus. Your role at Level AI includes but is not limited to Big picture: Understand customers’ needs, innovate and use cutting edge Deep Learning techniques to build data-driven solutions. Work on NLP problems across areas such as text classification, entity extraction, summarization, generative AI, and others. Collaborate with cross-functional teams to integrate/upgrade AI solutions into the company’s products and services. Optimize existing deep learning models for performance, scalability, and efficiency. Build, deploy, and own scalable production NLP pipelines. Build post-deployment monitoring and continual learning capabilities. Propose suitable evaluation metrics and establish benchmarks. Keep abreast with SOTA techniques in your area and exchange knowledge with colleagues. Desire to learn, implement and work with latest emerging model architectures, training and inference techniques, data curation pipelines, etc. To learn more visit : https://thelevel.ai/ Funding : https://www.crunchbase.com/organization/level-ai LinkedIn : https://www.linkedin.com/company/level-ai/

Job Title: Content Strategist Experience Required: 6+ Years About Us: At Signity Software Solutions , we specialise in AI consulting, strategy, and custom development services . Our solutions are used by enterprises globally to drive digital transformation, intelligent automation, and data-driven decisions. We are now looking to elevate our content game by hiring a strategic, hands-on, and technically savvy Content Strategist to own and lead our content efforts across brands and channels. About the Role: We're looking for an experienced Content Strategist who can shape and execute a robust content strategy that spans storytelling, technical education, SEO performance, and brand building. The ideal candidate should bring a blend of strategic thinking, technical understanding, editorial skills , and leadership experience to grow our content ecosystem in alignment with business goals. Key Responsibilities: Own the content strategy, editorial calendar, and publishing workflows for Signity and its associated brands. Collaborate closely with SEO and digital marketing teams to deliver content that drives traffic, engagement, and conversions. Lead a network of in-house writers, freelancers, and agencies to produce content across formats blogs, whitepapers, case studies, landing pages, email, videos, and more. Create and oversee the development of technical content , including AI/ML concepts, platform documentation, solution explainers, and product use cases. Review and edit content for clarity, accuracy, consistency, and alignment with brand voice and technical depth. Collaborate with cross-functional teams, including Product, Engineering, Marketing, and Sales to develop audience-focused, insight-driven content. Drive storytelling for marketing campaigns, solution narratives, brand positioning, and thought leadership. Manage content performance metrics via Google Search Console, HubSpot, and analytics platforms to guide strategic improvements. Oversee and execute the social media strategy across product and service verticals. Mentor and upskill junior writers, ensuring quality output and professional growth. Required Skills & Qualifications: 6+ years of experience in content strategy, writing, or marketing roles with at least 3 years in a leadership or mentoring capacity . Proven ability to craft and scale successful content strategies across B2B brands. Strong technical writing experience , especially in areas related to AI, machine learning, software development, cloud, or data engineering . Experience working in or alongside Product and Engineering teams to turn complex concepts into accessible content. Deep understanding of SEO best practices, keyword research, and on-page optimization. Expertise with CMS platforms (e.g., WordPress), analytics tools (Google Analytics, HubSpot), and SEO tools (Ahrefs, SEMrush, etc.). Strong editing, storytelling, and content planning capabilities. Comfortable managing multiple projects and priorities with a high attention to detail. Exposure to scripting for video explainers or product walkthroughs is a bonus. Nice to Have: Experience in developing developer-focused documentation or knowledge base content. Familiarity with AI-related topics such as LLMs, RAG (Retrieval-Augmented Generation), NLP , or MLOps . Previous work in a startup or agency environment with fast-paced content cycles. Experience in conducting SME (Subject Matter Expert) interviews and transforming insights into high-value content. Familiarity with content automation tools , generative AI for writing, or prompt engineering. Basic design or UX writing knowledge to support web/app content. Experience working with international brands or global content strategies. Why Join Us? Lead the content strategy for a fast-growing AI-focused technology company . Shape narratives that make complex innovations easy to understand and engaging to explore. Work in a collaborative, innovative, and growth-oriented environment. Get full ownership of content programs with freedom to experiment, scale, and lead. Show more Show less

Job Description: Key Responsibilities Hands-on Development: Develop and implement machine learning models and algorithms, including supervised, unsupervised, deep learning, and reinforcement learning techniques. Implement Generative AI solutions using technologies like RAG (Retrieval-Augmented Generation), Vector DBs, and frameworks such as LangChain and Hugging Face, Agentic Ai. Utilize popular AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. Design and deploy NLP models and techniques, including text classification, RNNs, CNNs, and Transformer-based models like BERT. Ensure robust end-to-end AI/ML solutions, from data preprocessing and feature engineering to model deployment and monitoring. Technical Proficiency: Demonstrate strong programming skills in languages commonly used for data science and ML, particularly Python. Leverage cloud platforms and services for AI/ML, especially AWS, with knowledge of AWS Sagemaker, Lambda, DynamoDB, S3, and other AWS resources. Mentorship: Mentor and coach a team of data scientists and machine learning engineers, fostering skill development and professional growth. Provide technical guidance and support, helping team members overcome challenges and achieve project goals. Set technical direction and strategy for AI/ML projects, ensuring alignment with business goals and objectives. Facilitate knowledge sharing and collaboration within the team, promoting best practices and continuous learning. Strategic Advisory: Collaborate with cross-functional teams to integrate AI/ML solutions into business processes and products. Provide strategic insights and recommendations to support decision-making processes. Communicate effectively with stakeholders at various levels, including technical and non-technical audiences. Qualifications Bachelor’s degree in a relevant field (e.g., Computer Science) or equivalent combination of education and experience. Typically, 8-10 years of relevant work experience in AI/ML/GenAI 15+ years of overall work experience. With proven ability to manage projects and activities. Extensive experience with generative AI technologies, including RAG, Vector DBs, and frameworks such as LangChain and Hugging Face, Agentic AI Proficiency in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. Extensive experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. Strong knowledge of natural language processing (NLP) techniques and models, including Transformer-based models like BERT. Proficient programming skills in Python and experience with cloud platforms like AWS. Experience with AWS Cloud Resources, including AWS Sagemaker, Lambda, DynamoDB, S3, etc., is a plus. Proven experience leading a team of data scientists or machine learning engineers on complex projects. Strong project management skills, with the ability to prioritize tasks, allocate resources, and meet deadlines. Excellent communication skills and the ability to convey complex technical concepts to diverse audiences. Preferred Qualifications Experience in setting technical direction and strategy for AI/ML projects. Experience in the Insurance domain Ability to mentor and coach junior team members, fostering growth and development. Proven track record of successfully managing AI/ML projects from conception to deployment. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Date live: 06/16/2025 Business Area: Barclays Payments Merchant Services Area of Expertise: Technology Contract: Permanent Reference Code: JR-0000030226 Be a part of a place where challenges are measured in billions, qubits and nanoseconds. Build your career in an environment where we’re advancing machine learning, leveraging blockchains, and harnessing FinTech. Working in Barclays technology, you’ll reimagine possibilities: learning and innovating to solve the challenges ahead, delivering for millions of customers. We are shaping the future of financial technology. Why not join us and make it happen here? Join us as a RPA Developer - Blue prism & UI Path (BPMS) at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. To be successful as a RPA Developer - Blue prism & UI Path (BPMS), you should have experience with: UI Path development on studio. Knowledge on Deployment activities for RPA solutions. Desirable skillsets/ good to have: Usage of Python for Process automation. Design process automation solutions. Knowledge on ML & NLP for intelligent automation. You may be assessed on the key critical skills relevant for success in role, such as experience with UI Path, as well as job-specific skillsets. This role will be based out of Pune. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Analyst Expectations Execute work requirements as identified in processes and procedures, collaborating with and impacting on the work of closely related teams. Check work of colleagues within team to meet internal and stakeholder requirements. Provide specialist advice and support pertaining to own work area. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how all teams in area contribute to the objectives of the broader sub-function, delivering impact on the work of collaborating teams. Continually develop awareness of the underlying principles and concepts on which the work within the area of responsibility is based, building upon administrative / operational expertise. Make judgements based on practise and previous experience. Assess the validity and applicability of previous or similar experiences and evaluate options under circumstances that are not covered by procedures. Communicate sensitive or difficult information to customers in areas related specifically to customer advice or day to day administrative requirements. Build relationships with stakeholders/ customers to identify and address their needs. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. (Opens in new tab or window) (Opens in new tab or window) (Opens in new tab or window) Reasonable adjustment Our purpose Equal opportunities Right to work statement Who succeeds in Tech at Barclays? For a career with us, you need to be prepared to take big steps forward, curious to face the challenges ahead, and driven to focus on the outcomes. We need people with the Barclays mindset to make it happen here. What you'll get in return Competitive holiday allowance Life assurance Private medical care Pension contribution Our technology Supporting our 48 million customers and clients worldwide takes a lot of forward thinking. It means harnessing technology to support the economy. It means making a difference to people’s lives. And it requires the maintenance and development of a global, technological infrastructure. At Barclays, technology helps us keep transactions moving, manages data, and protects our customers. Join a world where your work creates unique moments of impact. Make it happen here. Learn more about Barclays locations Across our campuses, we offer modern workspaces, collaborative areas, and state-of-the-art meeting rooms. Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations. Designed for innovation and comfort, they support a dynamic and productive work environment. Health and wellness A place where you can belong Collaborative Areas More than work Working flexibly We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports your personal needs, alongside the professional needs of our business. If you'd like to explore flexible working arrangements, please discuss this with the hiring manager. Your request will be reviewed in-line with the requirements of the role/business needs of the team. Hybrid working We have a structured approach to hybrid working, where colleagues work at an onsite location on fixed, ‘anchor’, days, as set by the business area. Please discuss the working pattern requirements for the role you are applying for with the hiring manager. Please note that working arrangements may be subject to change on reasonable notice to ensure we meet the needs of our business. Barclays is built on an international scale. Our geographic reach, our wide variety of functions, businesses, roles and locations reflect the rich diversity of our worldwide customer base. All of which means we offer incredible variety, depth and breadth of experience. And the chance to learn from a globally diverse mix of colleagues, including some of the very best minds in banking, finance, technology and business. Throughout, we’ll encourage you to embrace mobility, exploring every part of our operations as you build your career.

The E+D Growth Team's role is to help grow our user and customer base so we can fulfill Microsoft's mission of empowering every person and organization on the planet to achieve more. We do this through Product-Led Growth motions that we develop, facilitate, and partner with teams throughout Microsoft to deliver so we can bring more of Microsoft's software - across Microsoft 365, Windows, and elsewhere - to more users and convert those users into customers. We work with every segment of the market including consumers and businesses of all sizes, helping to facilitate improved engagement, retention, and acquisition for the wide array of products inside of the Experiences and Devices organization. Lead the next wave of growth for Microsoft's most transformative products. We are looking for an experienced, strategic, and customer-obsessed Principal Product Manager to drive Copilot and M365 subscription growth across the Microsoft ecosystem. As part of the E+D Growth team, you will help define and deliver our Product-Led Growth (PLG) strategy across Windows, Office, and beyond — crafting magical, AI-powered experiences that hundreds of millions of people rely on every day. Our team lives at the intersection of product innovation, experimentation, and business impact. We are builders, explorers, and connectors — and we are looking for a like-minded PM who thrives on driving big ideas from spark to scale. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Define and lead the PLG strategy to drive deep adoption of Copilot and M365 experiences across Microsoft products. Champion customer-driven thinking and experimentation practices that unlock growth. Partner across disciplines (design, engineering, research, marketing, business) to deliver end-to-end experiences that delight users and move the business. Lead initiatives that bridge technical innovation with user value, delivering holistic improvements across multiple customer touchpoints. Use data, insights, and storytelling to align stakeholders, inspire teams, and make bold, high-quality decisions. Qualifications Required Qualifications: Bachelor's Degree AND 8+ years experience in product/service/project/program management or software development OR equivalent experience. Experience managing cross-functional and/or cross-team projects. Expertise in Product-Led Growth (PLG) methodologies: hypothesis-driven development, experimentation frameworks, data-informed decision-making. A strong track record of leading product strategies and shipping experiences that deliver measurable growth and customer impact at a global scale. Deep experience working in cross-functional environments and influencing outcomes across diverse teams and senior stakeholders. A learning mindset: fluent in using qualitative and quantitative insights to frame hypotheses, drive experiments, and iterate at speed. Executive communication skills: you know how to connect the dots between product investments, customer needs, and business outcomes. Passion for building not just great products, but also great team culture — where collaboration, inclusion, and continuous improvement are core. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Exceptional skills in influencing and aligning diverse stakeholders across engineering, design, marketing, research, and business disciplines. Ability to think strategically while diving deep into details — you can balance big-picture vision with day-to-day execution. Experience working with AI/ML-powered experiences, platform services, or large-scale subscription businesses is a plus. Passion for customer-centric innovation, operational excellence, and building inclusive, high-performance team cultures. #ExDGrowth #IDCMicrosoft #DPG Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

We are looking for a ‘Data Scientist’ to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You – experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 2 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements About the Team You would be part of our incredible data science team of Intellectual property (IP) group & work closely with product and technology teams spreads across various locations worldwide. Hours of Work This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders. At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of 10+ years of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Kolkata Req ID: 763161

Job Title : Business Development Executive (BDE) Location: Jaipur (Behind WTP) New Development Centre Industry: Information Technology (IT) Company: Kuchoriya Techsoft Private Limited Experience: - 0-5 Years About Us Greetings from Kuchoriya Techsoft Founded in 2009, Kuchoriya TechSoft is an ISO 9001:2015 certified company delivering cutting-edge mobile apps, websites, and custom software solutions. With a global footprint in 50+ countries and 700+ successful projects, we help businesses grow through innovative digital services. Our core offerings include mobile app development (iOS, Android, cross-platform), web development, UI/UX design, and custom software. We also specialize in AI/ML solutions, cloud services, blockchain, DevOps, and strategic IT consulting. Job Summary: The Business Development Executive is responsible for identifying new business opportunities, generating leads, building strong client relationships, and driving revenue growth. The ideal candidate is a proactive, energetic professional with strong communication and sales skills. Key Responsibilities: · Generate leads through cold calls, emails, social media, and networking. · Understand client requirements and present tailored business proposals. · Schedule meetings and give product/service presentations to prospects. · Maintain accurate records of customer interactions in the CRM system. · Follow up on leads and move them through the sales pipeline. · Meet or exceed monthly and quarterly sales targets. · Collaborate with internal teams for seamless service delivery. · Stay updated with industry trends, competitor activities, and market conditions. Required Skills: Core Sales & Business Skills: · Lead generation and prospecting · Client relationship management · Negotiation and closing techniques · Market research and analysis · Sales funnel understanding Technical Skills: · Proficiency in CRM tools (e.g., HubSpot, Zoho, Salesforce) · MS Office Suite (Excel, Word, PowerPoint) · Basic understanding of data reporting and analysis Soft Skills: · Excellent verbal and written communication · Strong interpersonal and presentation skills · Time management and organizational ability · Self-motivated, result-oriented, and resilient · Ability to work independently and within a team Qualifications: · Bachelor’s degree in Business, Marketing, or a related field. · Strong verbal and written communication skills. · Self-motivated and result-oriented. · Good knowledge of MS Office and CRM tools. · Prior experience in sales or business development (preferred). Why Join Us? · Work on innovative tech projects with a dynamic team · Flexible work culture and supportive environment · Opportunities for Up-skilling and professional growth Compensation Structure: To be discussed during the interview process, based on experience and skill level. Job Types: Full-time, Fresher Pay: ₹10,000.00 - ₹40,000.00 per month Benefits: Cell phone reimbursement Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Work Location: In person

Job Summary: We are seeking a highly skilled and experienced Data Scientist with a deep understanding of data analytics powered by artificial intelligence (AI) tools. The ideal candidate will be passionate about turning data into actionable insights using cutting-edge AI platforms, automation techniques, and advanced statistical methods. Key Responsibilities: Develop and deploy scalable AI-powered data analytics solutions for business intelligence, forecasting, and optimization. Leverage AI tools to automate data cleansing, feature engineering, model building, and visualization. Design and conduct advanced statistical analyses and machine learning models (supervised, unsupervised, NLP, etc.). Collaborate cross-functionally with engineering and business teams to drive data-first decision-making. Must-Have Skills & Qualifications: Minimum 4 years of professional experience in data science, analytics, or a related field. Proficiency in Python and/or R with strong hands-on experience in ML libraries (scikit-learn, XGBoost, TensorFlow, etc.). Expert knowledge of SQL and working with relational databases. Proven experience with data wrangling, data pipelines, and ETL processes. Deep Understanding of AI Tools for Data Analytics (Experience with several of the following is required): Data Preparation & Automation: Alteryx, Trifacta, KNIME AI/ML Platforms: DataRobot, H2O.ai, Amazon SageMaker, Azure ML Studio, Google Vertex AI Visualization & BI: Tableau, Power BI, Looker (with AI/ML integrations) AutoML & Predictive Modeling: Google AutoML, IBM Watson Studio, BigML NLP & Text Analytics: OpenAI (ChatGPT, Codex APIs), Hugging Face Transformers, MonkeyLearn Workflow Orchestration: Apache Airflow, Prefect Preferred Qualifications: Degree in Computer Science, Data Science, Statistics, or related field. Experience in cloud-based environments (AWS, GCP, Azure) for ML workloads. To apply, please send your resume to sooraj@superpe.in or shreya@superpe.in SuperPe is an equal opportunity employer and welcomes candidates of all backgrounds to apply. We look forward to hearing from you! Show more Show less

Responsibilities: Develop and maintain infrastructure as code (IaC) to support scalable and secure infrastructure. Collaborate with the development team to streamline and optimize the continuous integration and deployment pipeline. Manage and administer Linux systems, ensuring reliability and security. Configure and provision cloud resources on AWS, Google Cloud, or Azure as required. Implement and maintain containerized environments using Docker and orchestration with Kubernetes. Monitor system performance and troubleshoot issues to ensure optimal application uptime. Stay updated with industry best practices, tools, and DevOps methodologies. Enhance software development processes through automation and continuous improvement initiatives. Requirements: Degree(s): B.Tech/BE (CS, IT, EC, EI) or MCA. Eligibility: Open to 2021, 2022, and 2023 graduates and postgraduates only. Expertise in Infrastructure as Code (IaC) with tools like Terraform and CloudFormation. Proficiency in software development using languages such as Python, Bash, and Go. Experience in Continuous Integration with tools such as Jenkins, Travis CI, and CircleCI. Strong Linux system administration skills. Experience in provisioning, configuring, and managing cloud resources (AWS, Google Cloud Platform, or Azure). Excellent verbal and written communication skills. Experience with containerization and orchestration tools such as Docker and Kubernetes. Job Type: Full-time Pay: ₹45,509.47 - ₹85,958.92 per month Benefits: Health insurance Schedule: Day shift Ability to commute/relocate: Indore, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: Python: 1 year (Preferred) AI/ML: 1 year (Preferred) Location: Indore, Madhya Pradesh (Preferred) Work Location: In person

Job description: Job Description Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. - Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. - Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. - Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities: - Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. - Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised Learning Developed feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following: Tableau, Hadoop, Spark, HBase, Kafka Experience: - 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. - Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud - Working w/ one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have: - Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager ͏ ͏ ͏ ͏ Mandatory Skills: Generative AI . Experience: 3-5 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome. Show more Show less

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Hardware Engineering General Summary Role: The BDC Post Silicon Engineering group has an opening for a RF and Mixed-Signal Bench Characterization Engineer. This group develops Test solutions for design verification of highly integrated Receivers/Transmitters/Transceivers, Power management, Analog and Mixed signal ASICs designed by QCT. Job responsibilities for this position include New Test methodology implementation, Device Verification and Characterization, Design and debug of Test interface hardware, Test automation, and Data analysis. Minimum Qualifications Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Role: The BDC Post Silicon Engineering group has an opening for a Lab Test Automation Framework Developer. This group develops Test solutions for design verification of highly integrated Receivers/Transmitters/Transceivers, Power management, Analog and Mixed signal ASICs designed by QCT. Job responsibilities for this position include developing robust, reliable automation framework and Software solutions to interface with RF Hardware and Instruments, ensuring seamless integration and functionality. Skills/Experience Solid software skills for writing and debugging Test Automation code. Competency in automation development using at least 1 automation tool (C# / Python). Develop software solutions using OOPs principles to interface with RF hardware, instruments, ensuring seamless integration and functionality. Conduct rigorous testing and validation of automation framework to ensure compliance with industry standards and performance requirements. Work closely with cross-functional teams, to ensure cohesive system design and implementation. Familiarity with AI/ML algorithms, understanding of deep learning concepts is a plus. Knowledge of RF fundamentals and System level knowledge is a plus. Able to work independently with initiative through challenges, Technical or otherwise. Able to communicate clearly, organize effectively and document work thoroughly while working with local and global teams. Education Requirements B.E, M.E or equivalent. 4 years plus experience. Key Terms To Find On Resumes C#, Framework, Object Oriented Programming(OOPs), Python, Test Automation, Software, AI, ML, Deep Learning, RF Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3075715 Show more Show less

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Summary - We are seeking experts with a robust background in the field of deep learning (DL) to design state-of-the-art low-level perception (LLP) as well as end-to-end AD models, with a focus on achieving accuracy-latency Pareto optimality. This role involves comprehending state-of-the-art research in this field and deploying networks on the Qualcomm Ride platform for L2/L3 Advanced Driver Assistance Systems (ADAS) and autonomous driving. The ideal candidate must be well-versed in recent advancements in Vision Transformers (Cross-attention, Self-attention), lifting 2D features to Bird's Eye View (BEV) space, and their applications to multi-modal fusion. This position offers extensive opportunities to collaborate with advanced R&D teams of leading automotive Original Equipment Manufacturers (OEMs) as well as Qualcomm's internal stack teams. The team is responsible for enhancing the speed, accuracy, power consumption, and latency of deep networks running on Snapdragon Ride AI accelerators. A thorough understanding of machine learning algorithms, particularly those related to automotive use cases (autonomous driving, vision, and LiDAR processing ML algorithms), is essential. Research experience in the development of efficient networks, various Neural Architecture Search (NAS) techniques, network quantization, and pruning is highly desirable. Strong communication and interpersonal skills are required, and the candidate must be able to work effectively with various horizontal AI teams. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 1+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field. Preferred Qualifications: Good at software development with excellent analytical, development, and problem-solving skills. Strong understanding of Machine Learning fundamentals Hands-on experience with deep learning network design and implementation. Ability to define network from scratch in PyTorch, ability to add new loss function, modify network with torch.fx. Adept at version control system like GIT. Experience in neural network quantization, compression, pruning algorithms. Experience in deep learning kernel/compiler optimization Strong communication skills Principal Duties And Responsibilities: Applies Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations. Models, architects, and develops machine learning hardware (co-designed with machine learning software) for inference or training solutions. Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development. Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same. Develops, adapts, or prototypes complex machine learning algorithms, models, or frameworks aligned with and motivated by product proposals or roadmaps with minimal guidance from more experienced engineers. Conducts complex experiments to train and evaluate machine learning models and/or software independently. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail myhr.support@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3074561 Show more Show less

Overview Intuit is a mission-driven, global financial platform company that gives everyone the opportunity to prosper. With products like TurboTax, QuickBooks, CreditKarma and Mailchimp, we’re using technology to build solutions to challenging financial problems for millions of people around the world. Intuit India's Dream is to be the innovative, entrepreneurial center where individuals create solutions that revolutionize millions of lives worldwide. We achieve success by empowering employees to excel, leveraging proximity to emerging markets and capitalizing on co-located Intuit businesses. At Intuit we believe everyone has the right to prosper, which is why our mission is ‘Powering Prosperity Around the World’. Being a mission-driven company includes living our values every day. That means integrity is at the foundation of everything we do, including the products we design, the role we play in the communities we are part of, and the way we treat every person that is a part of the Intuit family. Our products, including TurboTax, QuickBooks, CreditKarma and MailChimp help solve our customers’ most important problems to help them make more money, save time, and make financial decisions with confidence. We’re proud to have a culture that attracts top talent and empowers them to do the best work of their lives. When employees know they can bring their whole selves to work – that translates into an environment that has been recognized as one of the world’s best and most innovative places to work year upon year. What you'll bring Computer Science degree or equivalent with 15+ years of experience in the software product industry in senior architecture and software development roles. Demonstrated ability to build and deliver high quality SaaS and PaaS products/platforms that serve millions of customers and handle several millions to billion transactions. Ability to establish technology sourcing directions for the product division and provide context for these decisions to the company including having experience in evaluating and identifying Marketing technologies and have a clear framework for build vs buy including Notification systems, Content management systems, Data enablement, Customer journey orchestration, Adtech, Customer Data platform. Expertise in managing monetization capabilities like pricing, shopping etc. would be nice to have. Experience with influencing teams and executing change management to move to a unified platform/capability. Proven ability to lead and influence large distributed product development efforts across different geographies. Understanding of industry-leading technology/solutions in Marketing technologies, AI/ML, and In-depth knowledge of industry best practices, technologies, architectures and emerging technologies. Proven track record of outstanding business outcomes with effective and fast decision making that takes into account the interests of all four key stakeholders – employees, customers, shareholders, and partners. Experience in helping business and teams in prioritization and having difficult trade-offs that balance the short and long term product goals. Experience driving engineering design using Agile process to drive innovation, accelerate decisions and outcomes while minimizing risk. Proficiency in one or more key technologies including React, Java, Javascript, NoSQL; exceptionally competent in front-end and back-end architecture & design. Be extremely data driven and be able to give teams clear directions including scoreboards that will allow them to achieve their goals. Be a fantastic coach and mentor to your teams to build a highly motivated and high performance team, including the ability to attract, develop and retain top talent. Ability to work well through ambiguity, confidence in making tough calls and leading through adversity with a sharp focus on the eventual right outcomes. Ability to manage and build confidence in Senior leadership and stake holders through building strong relationships. Ability to communicate effectively to Senior leadership to influence strategic decisions. How you will lead Intuit is looking for a Director of Product Development, Marketing Technologies. We are a platform organization who will be powering the growth of our products by attracting, engaging, retaining and selling our products to being benefit for our customers. The successful executive will have technical depth, business acumen, and a desire to create delight in every customer experience. S/he will have a passion for driving technical product direction, leading and inspiring cross-functional teams, and influencing executives as well as engineers. The ideal candidate’s experience encompasses technical architecture and/or software development, business strategy, and people management experience. This executive will have an ability to leverage prior success building and re-architecting products and platforms that run at scale. Technology Strategy - The Director of Product Development, Marketing will lead the technical strategy and lead a team of engineers who build and deploy high scaled Marketing capabilities including Intuit built SaaS platforms and capabilities that are vendor provided. Ideally the person should have significant AI/ML expertise and should be able to push the strategy to embrace GenAI to help drive velocity and efficiency. Organizational Leadership - The role requires leading multiple teams in a complex domain that serves both as a platform/capability.Partner with senior engineering leaders and business leaders to influence organizational and structural change as well as build strong engineering teams. The person should demonstrate significant experience in leading teams globally and managing senior level stakeholders across different geographical time zones. Should be very comfortable working in a highly matrixed organization. Boundary-less Leadership - The leaders drive/partner closely with multi-disciplinary teams across Product, Design, Partnerships, Marketing, and Customer Support to deliver customer outcomes. Being a platform leader, the ideal candidate should have experience driving technology and product strategies for the next 1-3 years out bringing in an outside in perspective. Platform Mindset - Drive and deliver an open platform that fosters open contribution within the company and with the external developer and commerce industry. Drive company wide initiatives like platform and data architecture, process, rubrics for technology career tracks, hiring/coaching senior individual contributors. Operational Excellence - Be a key contributor to ensure the product is highly secure, available, scalable, resilient, and cloud ready. Inspire team’s innovation and deliver quality at speed across product offerings and platform services. People Leadership - Execute to success through diligent planning, attention to detail, effective delegation, efficient decision making, and individual/team accountability. Perform role of counselor and coach; provide input and guidance into the staffing process; actively attract, retain, and develop talent. Should have experience managing Sr technology leaders and help them grow. Speed as a Habit - Can operate in a fast-moving environment, make quick decisions and execute fiercely to deliver outcomes. Show more Show less

Design, develop, and implement AI and machine learning models and algorithms to solve complex business problems Analyze and preprocess large datasets, ensuring data quality for model training and deployment Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflow Monitor, test, and optimize model performance, retraining as necessary to maintain accuracy and efficiency Stay updated with the latest advancements in AI/ML technologies and best practices to drive continuous innovation Show more Show less

Summary Provide support on Marketing technology programs and products. Explore, evaluate, co-create, and implement a data driven approach to Campaign Execution. About The Role Location: Hyderabad #Hybrid Key Responsibilities Partner closely with business teams to lead the design and optimization of marketing campaigns using performance insights, audience behaviours, and dynamic personalization to drive measurable business outcomes. Design, configure, and execute marketing campaigns with precision—ensuring timely delivery, quality control, and alignment with business goals across all stages of campaign lifecycle Design and implement measurement framework that track key metrics and performance trends and provide actionable insights to product leadership. Monitor Campaign Performance and Tracking, thereby create a feedback loop to improve segmentation, campaign design, digital production. Translate data insights into actionable recommendations to improve business processes, decision-making, product adoption and change management, and stakeholder satisfaction. Communicate findings effectively through visualizations (charts, dashboards, presentations) and executive summaries tailored to technical or non-technical stakeholders Essential Requirements Proficient in analyzing complex data sets using Excel / SQL / Python / R. Hands on experience in computational techniques like correlation, multivariate analysis, decision trees, clustering, regression, ensemble methods etc. as part of day-to-day role. Skilled in presenting data insights and ML outcomes effectively through dashboards, slides, and visualizations, and articulating their business impact. Knowledge of Campaign Analytics, Funnel Analytics, Experience on Salesforce Marketing Cloud, Marketing Cloud Intelligence, Google Analytics would create an advantage. Understanding of Sales & Marketing processes in Pharmaceutical Industry would create an advantage. Passion for keeping up to date with the latest in marketing technology and digital marketing trends. Adaptability to learn skills or platforms on the go. Bachelor’s / master’s degree in business or technology / engineering. Soft Skills Exhibit organizational agility, creativity, strategic & strong analytical thinking. Passion for solving business problems with data Dynamic, results-oriented team player who contributes positively to team success. Excellent presentation skills and storyboarding skills. Ability to operate effectively in an international matrix environment. Strong stakeholder management skills Why Consider Novartis? Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards Commitment To Diversity And Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity. Show more Show less

About Birlasoft: Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. About the Job – We are looking for a highly experienced Senior Developer with a strong background in Python, AI/ML, Generative AI, and experience with Azure OpenAI, Large Language Models (LLMs), cloud platforms like Azure and AWS, and various databases to join our dynamic team. The ideal candidate will have a proven track record of developing and deploying advanced AI solutions, with a focus on leveraging Generative AI techniques to drive innovation and efficiency. Job Title - Technical Specialist Location: Pune Educational Background: Bachelor's degree in Computer Science, Information Technology, or related field. Key Responsibilities - AI/ML Development: Design, develop, and implement advanced AI/ML models and algorithms to solve complex problems and enhance business processes. Generative AI Solutions: Utilize Generative AI techniques (e.g., GANs, VAEs) to create innovative applications and improve existing systems. Python Programming: Write clean, efficient, and scalable code in Python, using libraries such as TensorFlow, PyTorch, scikit-learn, and others. Data Analysis and Modeling: Analyze large datasets to extract insights, build predictive models, and support data-driven decision-making. Azure OpenAI and LLMs: Develop and deploy AI solutions using Azure OpenAI services and Large Language Models (LLMs) to enhance capabilities and performance. Cloud Platforms: Utilize cloud platforms like Azure and AWS for deploying and managing AI/ML solutions. Database Management: Work with various databases, including SQL, MongoDB, NoSQL, and vector databases, to store, manage, and retrieve data efficiently. Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to understand requirements and deliver high-quality AI solutions. Mentorship: Provide technical guidance and mentorship to junior developers and team members. Continuous Improvement: Stay updated with the latest advancements in AI/ML, Generative AI, Azure OpenAI, LLMs, cloud technologies, and database management, and apply them to enhance existing solutions and develop new ones. Documentation: Document AI models, algorithms, and processes, and provide regular reports on project progress and outcomes. Required Qualifications: Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience: Minimum of 5-6 years of experience in AI/ML development, with a focus on Python, Generative AI, and Azure OpenAI. Technical Skills: Proficiency in Python and relevant libraries (TensorFlow, PyTorch, scikit-learn, etc.). Extensive experience with Generative AI techniques (GANs, VAEs, etc.). Strong understanding of machine learning algorithms, data analysis, and model deployment. Experience with Azure OpenAI services and Large Language Models (LLMs). Proficiency in cloud platforms like Azure and AWS. Experience with databases such as SQL, MongoDB, NoSQL, and vector databases. Familiarity with containerization (Docker, Kubernetes). Soft Skills: Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to lead and mentor a team. Proactive and self-motivated with a passion for innovation. Show more Show less

Overview Deputy Director - Data Engineering PepsiCo operates in an environment undergoing immense and rapid change. Big-data and digital technologies are driving business transformation that is unlocking new capabilities and business innovations in areas like eCommerce, mobile experiences and IoT. The key to winning in these areas is being able to leverage enterprise data foundations built on PepsiCo’s global business scale to enable business insights, advanced analytics, and new product development. PepsiCo’s Data Management and Operations team is tasked with the responsibility of developing quality data collection processes, maintaining the integrity of our data foundations, and enabling business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation. What PepsiCo Data Management and Operations does: Maintain a predictable, transparent, global operating rhythm that ensures always-on access to high-quality data for stakeholders across the company. Responsible for day-to-day data collection, transportation, maintenance/curation, and access to the PepsiCo corporate data asset Work cross-functionally across the enterprise to centralize data and standardize it for use by business, data science or other stakeholders. Increase awareness about available data and democratize access to it across the company. As a data engineering lead, you will be the key technical expert overseeing PepsiCo's data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. You'll be empowered to create & lead a strong team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data engineering team, you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will work closely with process owners, product owners and business users. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems. Responsibilities Data engineering lead role for D&Ai data modernization (MDIP) Ideally Candidate must be flexible to work an alternative schedule either on tradition work week from Monday to Friday; or Tuesday to Saturday or Sunday to Thursday depending upon coverage requirements of the job. The can didate can work with immediate supervisor to change the work schedule on rotational basis depending on the product and project requirements. Responsibilities Manage a team of data engineers and data analysts by delegating project responsibilities and managing their flow of work as well as empowering them to realize their full potential. Design, structure and store data into unified data models and link them together to make the data reusable for downstream products. Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products. Create reusable accelerators and solutions to migrate data from legacy data warehouse platforms such as Teradata to Azure Databricks and Azure SQL. Enable and accelerate standards-based development prioritizing reuse of code, adopt test-driven development, unit testing and test automation with end-to-end observability of data Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality, performance and cost. Collaborate with internal clients (product teams, sector leads, data science teams) and external partners (SI partners/data providers) to drive solutioning and clarify solution requirements. Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects to build and support the right domain architecture for each application following well-architected design standards. Define and manage SLA’s for data products and processes running in production. Create documentation for learnings and knowledge transfer to internal associates. Qualifications 12+ years of engineering and data management experience Qualifications 12+ years of overall technology experience that includes at least 5+ years of hands-on software development, data engineering, and systems architecture. 8+ years of experience with Data Lakehouse, Data Warehousing, and Data Analytics tools. 6+ years of experience in SQL optimization and performance tuning on MS SQL Server, Azure SQL or any other popular RDBMS 6+ years of experience in Python/Pyspark/Scala programming on big data platforms like Databricks 4+ years in cloud data engineering experience in Azure or AWS. Fluent with Azure cloud services. Azure Data Engineering certification is a plus. Experience with integration of multi cloud services with on-premises technologies. Experience with data modelling, data warehousing, and building high-volume ETL/ELT pipelines. Experience with data profiling and data quality tools like Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one business intelligence tool such as Power BI or Tableau Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes. Experience with version control systems like ADO, Github and CI/CD tools for DevOps automation and deployments. Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools. Experience with Statistical/ML techniques is a plus. Experience with building solutions in the retail or in the supply chain space is a plus. Understanding of metadata management, data lineage, and data glossaries is a plus. BA/BS in Computer Science, Math, Physics, or other technical fields. Candidate must be flexible to work an alternative work schedule either on tradition work week from Monday to Friday; or Tuesday to Saturday or Sunday to Thursday depending upon product and project coverage requirements of the job. Candidates are expected to be in the office at the assigned location at least 3 days a week and the days at work needs to be coordinated with immediate supervisor Skills, Abilities, Knowledge: Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management. Proven track record of leading, mentoring data teams. Strong change manager. Comfortable with change, especially that which arises through company growth. Ability to understand and translate business requirements into data and technical requirements. High degree of organization and ability to manage multiple, competing projects and priorities simultaneously. Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment. Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs. Foster a team culture of accountability, communication, and self-management. Proactively drives impact and engagement while bringing others along. Consistently attain/exceed individual and team goals. Ability to lead others without direct authority in a matrixed environment. Comfortable working in a hybrid environment with teams consisting of contractors as well as FTEs spread across multiple PepsiCo locations. Domain Knowledge in CPG industry with Supply chain/GTM background is preferred. Show more Show less

Introduction Joining the IBM Technology Expert Labs teams means you'll have a career delivering world-class services for our clients. As the ultimate expert in IBM products, you'll bring together all the necessary technology and services to help customers solve their most challenging problems. Working in IBM Technology Expert Labs means accelerating the time to value confidently and ensuring speed and insight while our clients focus on what they do best—running and growing their business. Excellent onboarding and industry-leading learning culture will set you up for a positive impact, while advancing your career. Our culture is collaborative and experiential. As part of a team, you will be surrounded by bright minds and keen co-creators—always willing to help and be helped—as you apply passion to work that will positively impact the world around us. Your Role And Responsibilities This Candidate is responsible for: DB2 installation and configuration on the below environments. On Prem Multi Cloud Redhat Open shift Cluster HADR Non-DPF and DPF. Migration of other databases to Db2(eg TERADATA / SNOWFLAKE / SAP/ Cloudera to db2 migration) Create high-level designs, detail level designs, maintaining product roadmaps which includes both modernization and leveraging cloud solutions Design scalable, performant, and cost-effective data architectures within the Lakehouse to support diverse workloads, including reporting, analytics, data science, and AI/ML. Perform health check of the databases, make recommendations and deliver tuning. At the Database and system level. Deploy DB2 databases as containers within Red Hat OpenShift clusters Configure containerized database instances, persistent storage, and network settings to optimize performance and reliability. Lead the architectural design and implementation of solutions on IBM watsonx.data, ensuring alignment with overall enterprise data strategy and business objectives. Define and optimize the watsonx.data ecosystem, including integration with other IBM watsonx components (watsonx.ai, watsonx.governance) and existing data infrastructure (DB2, Netezza, cloud data sources) Establish best practices for data modeling, schema evolution, and data organization within the watsonx.data lakehouse Act as a subject matter expert on Lakehouse architecture, providing technical leadership and guidance to data engineering, analytics, and development teams. Mentor junior architects and engineers, fostering their growth and knowledge in modern data platforms. Participate in the development of architecture governance processes and promote best practices across the organization. Communicate complex technical concepts to both technical and non-technical stakeholders. Required Technical And Professional Expertise 15+ years of experience in data architecture, data engineering, or a similar role, with significant hands-on experience in cloud data platforms Strong proficiency in DB2, SQL and Python. Strong understanding of: Database design and modelling(dimensional, normalized, NoSQL schemas) Normalization and indexing Data warehousing and ETL processes Cloud platforms (AWS, Azure, GCP) Big data technologies (e.g., Hadoop, Spark) Database Migration project experience from one database to another database (target database Db2). Experience in deployment of DB2 databases as containers within Red Hat OpenShift clusters and configure containerized database instances, persistent storage, and network settings to optimize performance and reliability. Excellent communication, collaboration, problem-solving, and leadership skills. Preferred Technical And Professional Experience Experience with machine learning environments and LLMs Certification in IBM watsonx.data or related IBM data and AI technologies Hands-on experience with Lakehouse platform (e.g., Databricks, Snowflake) Having exposure to implement or understanding of DB replication process Experience with integrating watsonx.data with GenAI or LLM initiatives (e.g., RAG architectures). Experience with NoSQL databases (e.g., MongoDB, Cassandra). Experience in data modeling tools (e.g., ER/Studio, ERwin). Knowledge of data governance and compliance standards (e.g., GDPR, HIPAA). soft skills. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. SAP BTP LLM Developer Job Purpose We are seeking a highly skilled and dynamic AI/ML Engineer with a robust skill set in Generative AI, machine learning, and expertise in programming languages such as Python and Go. The ideal candidate will have a deep understanding of SAP BTP, including hands-on experience with SAP BTP AI Core, AI Launchpad services, and the GenAI Hub. The role requires a professional who is adept at prompt engineering and has experience in developing large language models (LLMs). Experience with SAP BTP AI Business services is add-on to drive innovation and implement AI solutions that align with business objectives Key Responsibilities Utilize SAP BTP AI Core and AI Launchpad services to deploy and manage AI solutions. Collaborate with cross-functional teams to integrate AI/ML solutions into SAP BTP environments. Design and implement AI/ML models, with a focus on generative AI techniques and large language models. Develop and maintain scalable and robust applications using Python and Go programming languages. Engage in prompt engineering to fine-tune LLMs for specific use cases and ensure optimal performance. Stay abreast of the latest advancements in AI/ML and SAP BTP to continuously improve our offerings. Provide technical expertise and support for SAP BTP AI Business services to enhance business processes. Document and present AI/ML project results to stakeholders and provide actionable insights. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 3-4 years of experience in AI/ML, with a focus on generative AI and LLM development. Solid understanding of SAP BTP, including experience with SAP BTP AI Core, AI Launchpad services, and GenAI Hub. Proficiency in Python and Go programming languages. Familiarity with SAP BTP AI Business services and their application in enterprise settings. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Self-motivated with a passion for AI innovation and a drive to deliver results. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Introduction Work with Match360, Publisher, and Watsonx integrations to modernize MDM workloads Drive architectural decisions and ensure alignment with product roadmaps and enterprise standards Secondary: Informatica MDM (Desirable Skillset) Understand Key Concepts Of Informatica MDM Including: Landing, staging, base objects, trust & match rules Hierarchy configuration, E360 views, and SIF/REST API integrations Support data ingestion processes (batch & real-time), transformation, and cleansing routines via IDQ and Java-based user exits Provide insights and inputs to help us strategically position IBM MDM against Informatica, shaping unique assets and accelerators Cross-Functional and Strategic Responsibilities Collaborate with data governance and business teams to implement DQ rules, lineage, and business glossaries Mentor junior developers; participate in design/code reviews and knowledge-sharing sessions Create and maintain documentation: architecture diagrams, integration blueprints, solution specs Stay current with modern MDM practices, AI/ML in data mastering, and cloud-first platforms (e.g., CP4D, IICS, Snowflake, Databricks) Experience with other database platforms and technologies (e.g., DB2,Oracle, SQL Server). Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools. Knowledge of database regulatory compliance requirements (e.g., GDPR, HIPAA). Your Role And Responsibilities We are seeking an experienced and self driven Senior MDM Consultant to design, develop, and maintain enterprise-grade Master Data Management solutions with a primary focus on IBM MDM and foundational knowledge of Informatica MDM. This role will play a key part in advancing our data governance, quality, and integration strategies across customer, product, and party domains. Having experience in IBM DataStage , Knowledge Catalog, Cloud Pak for Data, Manta is important. You will work closely with cross-functional teams including Data Governance, Source System Owners, and Business Data Stewards to implement robust MDM solutions that ensure consistency, accuracy, and trustworthiness of enterprise data. Strong Hands-on Experience With: Informatica MDM 10.x, IDQ, and Java-based user exits. MDM components: base/landing/staging tables, relationships, mappings, hierarchy, E360 Informatica PowerCenter, IICS, or similar ETL tools Experience with REST APIs, SOA, event-based integrations, and SQL/RDBMS. Familiarity with IBM MDM core knowledge in matching, stewardship UI, workflows, and metadata management. Excellent understanding of data architecture, governance, data supply chain, and lifecycle management. Strong communication, documentation, and stakeholder management skills. Experience with cloud MDM/SaaS solutions and DevOps automation for MDM deployments. Knowledge of BAW, Consent Management, Account & Macro Role configuration. Preferred Education Bachelor's Degree Required Technical And Professional Expertise We are seeking an experienced and self driven Senior MDM Consultant to design, develop, and maintain enterprise-grade Master Data Management solutions with a primary focus on IBM MDM and foundational knowledge of Informatica MDM. This role will play a key part in advancing our data governance, quality, and integration strategies across customer, product, and party domains. Having experience in IBM DataStage , Knowledge Catalog, Cloud Pak for Data, Manta is important. You will work closely with cross-functional teams including Data Governance, Source System Owners, and Business Data Stewards to implement robust MDM solutions that ensure consistency, accuracy, and trustworthiness of enterprise data. Strong Hands-on Experience With: Informatica MDM 10.x, IDQ, and Java-based user exits MDM components: base/landing/staging tables, relationships, mappings, hierarchy, E360 Informatica PowerCenter, IICS, or similar ETL tools Experience with REST APIs, SOA, event-based integrations, and SQL/RDBMS. Familiarity with IBM MDM core knowledge in matching, stewardship UI, workflows, and metadata management. Excellent understanding of data architecture, governance, data supply chain, and lifecycle management. Strong communication, documentation, and stakeholder management skills. Experience with cloud MDM/SaaS solutions and DevOps automation for MDM deployments. Knowledge of BAW, Consent Management, Account & Macro Role configuration. Preferred Technical And Professional Experience Other required skills: IBM DataStage , Knowledge Catalog, Cloud Pak for Data, Manta Show more Show less

Introduction Joining the IBM Technology Expert Labs teams means you'll have a career delivering world-class services for our clients. As the ultimate expert in IBM products, you'll bring together all the necessary technology and services to help customers solve their most challenging problems. Working in IBM Technology Expert Labs means accelerating the time to value confidently and ensuring speed and insight while our clients focus on what they do best—running and growing their business. Excellent onboarding and industry-leading learning culture will set you up for a positive impact, while advancing your career. Our culture is collaborative and experiential. As part of a team, you will be surrounded by bright minds and keen co-creators—always willing to help and be helped—as you apply passion to work that will positively impact the world around us. Your Role And Responsibilities This Candidate is responsible for: DB2 installation and configuration on the below environments. On Prem Multi Cloud Redhat Open shift Cluster HADR Non-DPF and DPF. Migration of other databases to Db2(eg TERADATA / SNOWFLAKE / SAP/ Cloudera to db2 migration) Create high-level designs, detail level designs, maintaining product roadmaps which includes both modernization and leveraging cloud solutions Design scalable, performant, and cost-effective data architectures within the Lakehouse to support diverse workloads, including reporting, analytics, data science, and AI/ML. Perform health check of the databases, make recommendations and deliver tuning. At the Database and system level. Deploy DB2 databases as containers within Red Hat OpenShift clusters Configure containerized database instances, persistent storage, and network settings to optimize performance and reliability. Lead the architectural design and implementation of solutions on IBM watsonx.data, ensuring alignment with overall enterprise data strategy and business objectives. Define and optimize the watsonx.data ecosystem, including integration with other IBM watsonx components (watsonx.ai, watsonx.governance) and existing data infrastructure (DB2, Netezza, cloud data sources) Establish best practices for data modeling, schema evolution, and data organization within the watsonx.data lakehouse Act as a subject matter expert on Lakehouse architecture, providing technical leadership and guidance to data engineering, analytics, and development teams. Mentor junior architects and engineers, fostering their growth and knowledge in modern data platforms. Participate in the development of architecture governance processes and promote best practices across the organization. Communicate complex technical concepts to both technical and non-technical stakeholders. Required Technical And Professional Expertise 15+ years of experience in data architecture, data engineering, or a similar role, with significant hands-on experience in cloud data platforms Strong proficiency in DB2, SQL and Python. Strong understanding of: Database design and modelling(dimensional, normalized, NoSQL schemas) Normalization and indexing Data warehousing and ETL processes Cloud platforms (AWS, Azure, GCP) Big data technologies (e.g., Hadoop, Spark) Database Migration project experience from one database to another database (target database Db2). Experience in deployment of DB2 databases as containers within Red Hat OpenShift clusters and configure containerized database instances, persistent storage, and network settings to optimize performance and reliability. Excellent communication, collaboration, problem-solving, and leadership skills Preferred Technical And Professional Experience Experience with machine learning environments and LLMs Certification in IBM watsonx.data or related IBM data and AI technologies Hands-on experience with Lakehouse platform (e.g., Databricks, Snowflake) Having exposure to implement or understanding of DB replication process Experience with integrating watsonx.data with GenAI or LLM initiatives (e.g., RAG architectures). Experience with NoSQL databases (e.g., MongoDB, Cassandra). Experience in data modeling tools (e.g., ER/Studio, ERwin). Knowledge of data governance and compliance standards (e.g., GDPR, HIPAA).Soft Skills Show more Show less