We are looking for a highly motivated Data Scientist with hands-on experience in production-grade AI/ML systems, Large Language Models (LLMs), and Agentic AI applications. The ideal candidate should have experience building, evaluating, deploying, and monitoring AI solutions at scale, with strong expertise in cloud-native deployments on AWS (preferred).
You will work closely with Data Science, Engineering, Product, and Business teams to design and deploy intelligent AI solutions that deliver measurable business impact.
About the Role:
In this opportunity as a Data Scientist, you will:
- Design, develop, and deploy machine learning and generative AI solutions into production environments.
- Build and optimize applications powered by LLMs, including RAG, prompt engineering, tool calling, function calling, and agentic workflows.
- Develop autonomous and semi-autonomous AI agents using modern agentic frameworks.
- Fine-tune, evaluate, and benchmark open-source and commercial language models.
- Build scalable data pipelines and AI services on cloud platforms, primarily AWS.
- Work with vector databases and retrieval systems to improve knowledge-grounded AI applications.
- Collaborate with software engineers to productionize ML and GenAI solutions using MLOps best practices.
- Implement monitoring, observability, performance tracking, guardrails, and cost optimization for deployed AI systems.
- Conduct experiments and analyze model performance to drive continuous improvement.
- Stay current with advancements in LLMs, Agentic AI, MLOps, and cloud-native AI infrastructure.
- Work Mode: Hybrid-3 days from office.
- Shift Timing: 12pm IST to 9pm IST.
About You:
You're a fit for the role of Data Scientist, if your background includes:
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or related field.
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- 2–4 years of experience developing and deploying machine learning solutions in production environments.
- Strong proficiency in Python and ML/AI libraries.
- Hands-on experience with Large Language Models (OpenAI, Anthropic, Llama, Mistral, etc.) and Generative AI applications.
- Experience building RAG-based systems using vector databases such as Pinecone, Weaviate, Chroma, FAISS, or OpenSearch.
- Knowledge of prompt engineering, model evaluation, hallucination mitigation, and agent orchestration techniques.
- Experience with cloud platforms, particularly AWS (SageMaker, Lambda, ECS/EKS, Bedrock, S3, API Gateway, etc.).
- Experience deploying AI/ML services using Docker and modern CI/CD practices.
- Good understanding of software engineering principles, APIs, and scalable system design.
- Strong problem-solving and analytical skills.
- Experience with agentic frameworks such as LangGraph, LangChain, CrewAI, or similar frameworks.
- Familiarity with MLOps tools and practices including MLflow, Airflow, monitoring platforms, and automated deployment pipelines.
- Experience with model serving, inference optimization, caching, and cost optimization techniques.
- Understanding of distributed systems, microservices, and event-driven architectures.
- Exposure to AWS Bedrock, knowledge graph integration, multi-agent systems, or advanced retrieval techniques.
- Contributions to open-source AI projects, technical blogs, research publications, or hackathons.
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What’s in it For You?
- Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
- Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
- Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
- Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
- Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
- Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.
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More information about Thomson Reuters can be found on thomsonreuters.com.
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