Accepting Applications
Full-time
On-site
Posted 3 weeks, 4 days ago
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0 applications
Job Description
**Location:**
Hyderabad or Bengaluru
**Employment Type:**
Full\-time
**Function:**
Data Science / Machine Learning Engineering
We 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 Qualifications
* **3–9\+ 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\-Have
* Experience 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).
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