Job Title

Location: Hyderabad or BengaluruEmployment Type: Full-timeFunction: Data Science / Machine Learning EngineeringWe are looking for an experienced Data Scientist or AI/ML Engineer with deep, practical experience in Palantir AIP to design, build, and scale production-grade AI solutions. You will leverage AIP Agents, Ontologies, Actions, AI governance & security, and the AIP SDK to integrate LLMs with operational systems, create safe and auditable AI workflows, and deliver measurable business outcomes.Must-Have Qualifications3–9+ years (flexible by level) in Data Science / ML Engineering with hands-on Palantir AIP delivery in production.Proven experience with AIP core concepts: Ontology, AIP Agents, Actions/Tools, AIP SDK, governance & auditability, policy guardrails, and AIP Canvas/Prompt Library (or equivalent).Strong Python engineering skills (packages such as pandas, numpy, scikit-learn, FastAPI/Flask for services).Practical LLM experience: prompt engineering, RAG, embeddings, vector stores, evaluation & guardrails, grounding with enterprise data.Solid understanding of data modeling, SQL, and data pipelines (batch/stream).Experience deploying AI services on AWS/Azure/GCP; familiarity with containers (Docker) and orchestrators (Kubernetes).Ability to translate business problems into measurable AI solutions with clear KPIs.Nice-to-HaveExperience with Palantir Foundry/Gotham (objects, pipelines, Ontology-backed apps, Code Repositories, Contour/Quiver).Familiarity with AIP Actions into enterprise systems (e.g., ServiceNow, SAP, Salesforce, custom REST/gRPC).Vector databases (FAISS, Milvus, Pinecone, OpenSearch), document stores, and retrieval strategies.Observability & evaluation: LangSmith, Weights & Biases, MLflow, custom eval harnesses for LLMs.Security/compliance: RBAC/ABAC, data residency, PHI/PII handling, audit trails, policy-as-code (OPA).Experience in one or more domains: Airlines/Travel, Public Sector, Financial Services, Healthcare, Manufacturing, Supply Chain.Front-end familiarity for AI apps: React/TypeScript (for quick AIP app customization and UX polish).