Job Description Summary

Location: Hyderabad Lloyds Technology Centre

Function: Chief Data Analytics Office (AI CoE)

Experience: 4 6 years (software/ML/AI); proven production delivery and technical leadership

Job Description 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
Solid 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.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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