Senior Data & AI Scientist

Lloyds Bank plc; Hyderabad; Hybrid; INR 2,500,000 - 4,500,000; Full time

Benefits offered by this job

Flexible working

Hybrid working

Job summary

Lloyds Bank plc in Hyderabad seeks a Senior Data & AI Scientist to lead the design and delivery of enterprise-scale AI/ML solutions, including GenAI features, with emphasis on reliability, security, and governance.

You will mentor engineers, drive MLops practices, and collaborate with cross-functional teams in the Chief Data & Analytics Office to operationalise AI safely at scale in a hybrid work environment.

Qualifications

• 7–12 years of software/ML/AI experience with production delivery.
• Ability to design and deploy enterprise-scale AI/ML solutions.
• Strong Python and software engineering discipline; knowledge of SQL.
• Experience with Docker/Kubernetes and Git-based CI/CD.
• Familiarity with cloud AI stacks (Azure ML or Vertex AI) and model governance.

Responsibilities

• Architect and implement ML and GenAI systems; optimise for performance, cost, and scalability.
• Build CI/CD pipelines, automated testing, and manage model lifecycle with MLflow or equivalent.
• Develop RAG workflows, embeddings, and guardrails.
• Expose models via secure microservices (FastAPI) with RBAC/ABAC and audit logging.
• Embed AI ethics, regulatory standards, and security controls into all solutions.

Skills

Python

SQL

CI/CD

Git

LLM/GenAI

Prompting

Embeddings

RAG

Guardrails

Tools

Docker

Kubernetes

MLflow

Kubeflow

Azure ML

Vertex AI

Artifact Registries

Secrets Management

FastAPI

Job description

## Senior Data & AI ScientistApply: Hyderabad Knowledge Park Tower 2: Full time: Posted 3 Days Ago: End Date: October 5, 2026 (2 days left to apply): 158804**End Date**Sunday 04 October 2026**We Support Flexible Working – Click here for more information on flexible working options****Flexible Working Options**Hybrid Working**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*** 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.