We Delivers technology and product engineering capabilities for Thomson Reuters' Tax, Accounting, and Practice business. Supports the design, development, enhancement, and maintenance of products serving tax, accounting, audit, and practice-management professionals. Enables the delivery of scalable product and technology solutions across Thomson Reuters' Tax, Accounting, and Practice portfolio.
About the role:
- Lead the technical execution of AI projects, including architecture decisions, roadmap alignment, and delivery oversight.
- Optimize AI performance through advanced techniques including domain-specific adaptation of third-party models and algorithms.
- Deliver scalable AI/ML solutions using emerging technologies and best practices in MLOps and LLMOps.
- Design and implement continuous monitoring of application and user behavior to support product insights and prioritization
- Stay abreast of AI developments and encourage learning and adoption of relevant technologies
- Act as a thought leader by contributing to internal forums, representing the team in areas of AI expertise,
and influencing technical direction.
About you:
- Minimum 5+ years of python experience.
- Minimum 3+ years of machine learning experience.
- Work experience with data science libraries like numPy, Pandas, Matplotlib.
- Work experience on Scikit-learn framework.
- Work experience on Tensorflow or Pytorch.
- Work experience with document analysis, computer vision and NLP problems.
- Building AI Agent
- Work experience of MLOps tools.
- Exposure/work experience on .Net and C#.
- Experience with cloud platform (preferably Azure).
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What’s in it For You?
- Hybrid Work Model: We’ve adopted a flexible hybrid working setting (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