Context Trainer (Developer)
Bengaluru, Karnataka Job ID R0174416 Category Data, Digital and Technology Subcategory Data, Digital and Technology,Data, Digital and Technology Business Unit Corporate Functions Job Type Full timeBy 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).
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.
