Context Trainer (Developer)

Job description

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use.  I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description THE OPPORTUNITY  Curate and govern the context layer (RAG/KBs, embeddings, metadata, labeling) to improve answer quality and minimize hallucinations, while protecting data/PII.  RESPONSIBILITIES  Curation & Labeling  • Extract and curate content from enterprise sources (Confluence, Jira, SharePoint, ServiceNow, qTest) using APIs and automation.  • Define chunking and metadata schemas; labeling guidelines; golden Q&A and evaluation sets.  • Implement chunking strategies for diverse content types (code repositories, technical documentation, tickets, test cases).  • Implement curation workflows and retention policies.  Retrieval Quality  • Run A/B experiments across vector stores; monitor answer quality vs. cost/latency; recommend defaults.  • Analyze failure cases and propose data-driven improvements.  Data Governance  • Enforce data minimization, retention, and access controls; maintain lineage and approvals per RAI (Responsible AI).  • Document data sources and usage for audit readiness.  SKILLS & QUALIFICATIONS  Required  • 3+ years data/ML experience with embeddings/retrieval expertise; strong documentation and runbook skills.   • Experience with content transformation, metadata extraction, and labeling workflows.  • Familiarity with privacy and data governance principles.  • Hands-on experience with vector stores (OpenSearch/pgvector/Kendra/Chroma) and labeling tools.  • Experience with REST APIs and data extraction from enterprise systems.  • Python coding proficiency for data pipelines and automation.  Preferred/Nice to have  • Experience designing golden datasets and evaluation pipelines.  • AWS Bedrock Knowledge Bases experience.  • Familiarity with software development lifecycle and technical documentation patterns.  Locations IND - Bengaluru Worker Type Employee Worker Sub-Type Regular Time Type Full time