Senior Data & AI Scientist (Hyderabad)

Senior Data & AI Scientist (Hyderabad)

07 Aug
|
Lloyds Technology Centre
|
Hyderabad

07 Aug

Lloyds Technology Centre

Hyderabad

Job Description Summary

AI Engineer Grade E (Senior Level) Location: Hyderabad Lloyds Technology Centre Function: Chief Data Analytics Office (AI CoE) Experience: 7 12 years (software/ML/AI); proven production delivery and technical leadership

Role Purpose

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.

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.

📌 Senior Data & AI Scientist (Hyderabad)
🏢 Lloyds Technology Centre
📍 Hyderabad

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