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 (https://jobs.takeda.com/privacynotice) and Terms of Use (https://www.takeda.com/terms-and-conditions/) . 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). + Implementcurationworkflows and retention policies. **Retrieval Quality** + Run A/B experiments across vector stores;monitoranswer quality vs. cost/latency; recommend defaults. + Analyze failure cases and propose data-driven improvements. **Data Governance** + Enforce data minimization, retention, and access controls;maintainlineage and approvals per RAI (Responsible AI). + Document data sources and usage for audit readiness. SKILLS & QUALIFICATIONS **Required** + 3+yearsdata/ML experience with embeddings/retrievalexpertise; 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 codingproficiencyfor 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