Thomson Reuters is looking to develop intelligent systems that power the next generation of expert solutions across legal, tax, risk, and compliance domains using AI technologies.
Requirements
- Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow)
- Strong understanding of machine learning principles, evaluation, and system design
- Knowledge of MLOps and the end-to-end lifecycle of AI-powered software applications
- Experience integrating AI models into production systems using APIs and data pipelines
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes)
- Experience with AI-driven systems, agent-based architectures, or AI APIs from providers like OpenAI and Anthropic.
- Knowledge of vector databases, embeddings, or search-based AI.
Responsibilities
- Architect and implement advanced AI systems, including multi-component pipelines, retrieval-augmented generation (RAG), and custom AI agents with multi-step reasoning.
- Integrate AI models into production software through robust APIs and scalable data pipelines.
- Adapt AI models and techniques to specialized domains, tailoring solutions for expert systems in areas such as legal, tax, and compliance.
- Evaluate and prototype cutting-edge AI techniques to solve business challenges
- Conduct proof-of-concept projects for new AI-driven features
- Implement comprehensive testing frameworks and monitoring systems for AI model performance
- Ensure compliance with ethical AI principles and security standards
Other
- Bachelor's degree in computer science or equivalent experience
- 5+ years of experience in software engineering; at least 2 years focused on AI/ML
- Excellent problem-solving skills and ability to work independently in a fast-paced environment
- Strong communication skills and experience working in cross-functional teams
- Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role)
