Job Description :

Role Purpose :

Lead the design and delivery of enterprise-scale AI/ML solutionsincluding LLM/GenAI featureswith 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 :

- AI Solution Design & Delivery : Architect and implement advanced ML and GenAI systems; optimise for performance, cost, and scalability.

- Model Operationalisation (MLOps) : Build CI/CD pipelines, implement automated testing, and manage model lifecycle with MLflow or equivalent.

- LLMOps & GenAI : Develop RAG workflows, embeddings, and vector indexes; enforce prompt safety, observability (latency, token usage, cost), and guardrails.

- APIs & Integration : Expose models via secure microservices (FastAPI or similar); ensure RBAC/ABAC and audit logging.

- Governance & Compliance : Embed AI ethics, regulatory standards, and security controls into all solutions.

Essential Skills :

- Strong Python and software engineering discipline; working knowledge of SQL.

- Hands-on with Docker/Kubernetes and 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).

Desirable Skills :

- Vector DBs (PGVector/Weaviate/Pinecone), LangChain/LlamaIndex.

- Observability tools (Prometheus/Grafana/OpenTelemetry) and model evaluation frameworks (Evidently, Ragas/TruLens).

- Secure engineering practices : tokenisation/masking, KMS/Key Vault, policy-as-code.

Key Skills :

- Artificial Intelligence

- Generative Ai

- Machine Learning

- Python

Role : Data Scientist

Industry Type : Banking

Department : Data Science & Analytics

Employment Type : Full Time, Permanent

Role Category : Data Science & Machine Learning

Education :

UG : Any Graduate