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Salary
≈ $25k – $52k per year (Estimated)
Location
Hybrid (Bengaluru, India)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Sep 7, 2026. Thomson Reuters scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Thomson Reuters is a Canadian information company created in 2008 when the Thomson Corporation acquired the British news and data group Reuters, and it now sells research, workflow software and analytics rather than raw information. Its largest businesses serve law firms and corporate counsel through Westlaw and Practical Law, tax and accounting professionals through Checkpoint and ONESOURCE, and corporate risk and compliance teams through screening and investigation products, alongside the Reuters news agency. Headquartered in Toronto and listed in Toronto and New York, it has invested heavily in generative assistants embedded directly in those professional workflows.

Job Description

AI/ML Lead Engineer (Python) - Thomson Reuters

About Thomson Reuters

Thomson Reuters delivers technology and product engineering capabilities for its Tax, Accounting, and Practice business. We support the design, development, enhancement, and maintenance of products serving tax, accounting, audit, and practice management professionals, enabling scalable technology solutions across the Thomson Reuters portfolio.

Key Responsibilities

  • Lead the technical execution of AI initiatives, including architecture design, roadmap alignment, and delivery oversight.

  • Design, develop, and deploy scalable AI/ML solutions leveraging modern AI technologies, MLOps, and LLMOps best practices.

  • Optimize AI model performance through advanced techniques, including domain adaptation of third-party models and algorithms.

  • Build and enhance AI-powered applications, including AI agents and intelligent automation solutions.

  • Design and implement monitoring frameworks to track application performance, user behavior, and product insights.

  • Collaborate with cross-functional teams to translate business requirements into scalable AI solutions.

  • Stay current with emerging AI, Machine Learning, and Generative AI technologies and drive adoption of relevant innovations.

  • Act as a technical thought leader by contributing to architecture discussions, sharing AI expertise, and influencing engineering direction.

  • Support continuous improvement of development, deployment, and operational processes for AI systems.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

  • 5+ years of hands-on experience in Python development.

  • 3+ years of hands-on experience in Machine Learning and AI solution development.

  • Strong experience in Python, NumPy, Pandas, Matplotlib, FastAPI, Scikit-learn, and TensorFlow/PyTorch, with hands-on expertise in developing AI/ML solutions across Computer Vision, Natural Language Processing (NLP), and Intelligent Document Processing (IDP)/Document Analysis systems.

    Experience building AI Agents and AI-powered applications.
  • Knowledge of MLOps tools, frameworks, and deployment workflows.

  • Experience with cloud platforms, preferably Microsoft Azure.

  • Strong problem-solving, analytical, and communication skills.

  • Experience working in Agile development environments.

Preferred Qualifications

  • Exposure to or hands-on experience with .NET and C# technologies.

  • Experience with Large Language Models (LLMs), Generative AI, and Retrieval-Augmented Generation (RAG) architectures.

  • Familiarity with LLMOps practices and AI model lifecycle management.

  • Experience deploying AI solutions in enterprise-scale cloud environments.

  • Knowledge of CI/CD pipelines and DevOps practices for AI/ML applications.

  • Experience working with products in the Tax, Accounting, Legal, or Financial domains.

  • Ability to mentor engineers and drive technical excellence across teams.

What’s in it For You?

  • Hybrid Work Model: We’ve adopted a flexible hybrid working environment 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.

Learn more on how to protect yourself from fraudulent job postings here.

More information about Thomson Reuters can be found on thomsonreuters.com.

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