Data Scientist analyzing large datasets to discover trends and supporting business stakeholders with data - driven insights. Designing machine learning models and presenting information through data visualization.
About the role
- Data Scientist building extensible multi-agent infrastructure at Roche. Focused on Generative AI solutions transforming healthcare and biotech operations.
Responsibilities
- Build an extensible multi-agent infrastructure designed for a fast-moving team within a large enterprise environment
- Design and build the required infrastructure to turn traditional services into agentic components and transform traditional ML models into agents
- Convert traditional API services into Model Context Protocol (MCP) compliant tools
- Design and implement proper governance frameworks for agents and data sources
- Influence technical decisions and priorities
- Utilize advanced observability tools to monitor and evaluate the health of agentic systems
- Coach team members and stakeholders to become more AI-savvy
Requirements
- Bachelor's degree in a relevant field (Computer Science, Data Science, AI, etc.)
- Minimum 4+ years of experience
- 3 years of dedicated experience building infrastructure for Generative AI products in B2B environments
- Mastery of Gen AI tools, MCP, and A2A protocols
- Hands-on experience with LangChain, LangGraph, AWS Agentcore, or similar frameworks
- Mastery of vector and graph databases
- Expert in RAG architecture and document optimization methods like chunking
- Excellent verbal and written communication skills
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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