Senior Data & AI Scientist
Hybrid · Hyderabad, Telangana, India
Job Summary
Lead the design and delivery of enterprise-scale AI/ML solutions—including LLM/GenAI features—with strong focus on reliability, security, and compliance. Drive technical standards, mentor junior engineers, and collaborate with cross-functional teams to operationalise AI safely and efficiently. Key responsibilities include architecting and implementing advanced ML and GenAI systems, building MLOps pipelines, development of LLMOps workflows, secure model exposure via microservices, enforcing RBAC/ABAC and audit logging, and embedding governance and regulatory controls across solutions.
Required Qualifications
- Strong Python and software engineering discipline
- Working knowledge of SQL
- Hands-on with Docker/Kubernetes
- Git-based CI/CD (GitHub/Azure DevOps)
- Experience with cloud AI stacks (Azure ML or GCP Vertex AI)
- Artefact registries and secrets management
- Deep understanding of LLM fundamentals (prompting, embeddings, RAG, guardrails)
- Familiarity with MLflow/Kubeflow, Airflow/Composer, and feature stores (e.g., Feast)
- Observability tools (Prometheus/Grafana/OpenTelemetry) and model evaluation frameworks (Evidently, Ragas/TruLens)
- Secure engineering practices: tokenisation/masking, KMS/Key Vault, policy-as-code
- Experience designing secure APIs (e.g., FastAPI) with RBAC/ABAC
- Experience delivering enterprise-scale AI/ML solutions with focus on reliability, security, and compliance
- MLOps: CI/CD pipelines, automated testing, model lifecycle management
- Experience with LLM fundamentals and GenAI features
- Experience with vector databases (PGVector/Weaviate/Pinecone)
- Knowledge of governance and regulatory standards in AI
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