Data Scientist
First seen by Alion on Aug 27, 2026.
Experience Required:
- 6+ years in AI/ML, data science, or software engineering.
- 3+ years in GenAI, LLM, RAG, conversational AI, or ML productionisation.
Key Responsibilities :
- Build and deploy secure, production-grade AI agents using GenAI frameworks.
- Develop APIs with Python (FastAPI, Flask, or similar).
- Implement RAG architecture: ingestion, chunking, embeddings, retrieval, ranking, grounding, citations, evaluation.
- Apply LLM techniques: embeddings, vector search, prompt design, evaluation, hallucination control.
- Manage MLOps/LLMOps: deployment, monitoring, evaluation, versioning, observability.
- Ensure security and governance: IAM, PII handling, prompt injection risks, data leakage prevention, approval workflows.
- Deliver working prototypes and production-ready services.
Must-Have Skills :
- Python, FastAPI, REST APIs, async processing.
- LLM application development and RAG implementation with vector databases.
- Prompt engineering, tool/function calling, structured outputs.
- LLM security: prompt injection, guardrails, access control.
- GCP Vertex AI, Gemini, Cloud Run, GKE, or equivalent.
- Agent orchestration using ADK, LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar.
- Evaluation frameworks: Vertex AI, Evals, RAGAS, regression tests.
Nice to Have :
- Google Agent Development Kit (ADK).
- Gemini Enterprise Agent Platform.
- Agent observability and tracing.
- Multi-agent architecture.
- Human-in-the-loop approval flows.
- Enterprise knowledge graph / search integration.
Skills
Machine Learning, Python, Generative AI, RAG, LLM, Google Cloud Platform, Artificial Intelligence, Data Science, Data Scientist