Job description preview
From Reuters’s original posting
Job Description Thomson Reuters is expanding its Data Science and AI organization and is looking for a Manager to lead a team building intelligent products and automation. You will own the full lifecycle of ML and GenAI solutions, from problem framing to production deployment and operation. The work spans traditional machine learning and modern GenAI systems, including LLM applications, RAG, agents, and multi-agent platforms. You will set technical direction, develop your team, and partner with business stakeholders to deliver measurable impact. Key Responsibilities Production deployment and delivery • Own end-to-end delivery of ML and GenAI solutions from prototype to monitored production systems. • Establish MLOps and LLMOps practices: CI/CD, versioning, testing, observability, drift detection, and cost monitoring. • Define evaluation frameworks for both classical models and LLM/agent systems, covering accuracy, groundedness, safety, and regression testing.Technical platform ownership • Own the architecture, roadmap, and operations of the team's AI platform, including model serving, vector stores, retrieval pipelines, and orchestration layers. • Build reusable agentic…
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