Senior Technical Specialist
India
Job Description
Senior Technical Specialist
Bengaluru, Karnataka
Job Summary
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Reports to |
Programme Tech Lead |
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Capabilities covered |
Standardized Data Platform Architecture; Standardized AI/ML Framework; MLOps Maturity; AI/ML Infrastructure Enhancements |
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Location |
Prudential VCC Bangalore (preferred) |
Role summary
Lead the design and conformance of the cloud-agnostic MLOps framework and AI/ML infrastructure (vector search, embeddings) across Azure Databricks and GCP Vertex AI.
Key Responsibilities
- Maintain the standardised AI/ML framework design covering experimentation, code versioning, CI/CD, feature management, deployment, inference and monitoring.
- Validate the AI/ML infrastructure baseline at mobilisation, close spillover and support adoption; do not restart completed work.
- Guide self-service Terraform templates for vector search and embedding infrastructure in Databricks and Vertex AI.
- Oversee MLOps framework rollout to remaining LBUs and ensure co-existence with the AI Platform (Scope 3) capabilities.
- Review designs from ML Integration Engineers for security, scalability and Group standards alignment.
Skill Requirements
Must-have skills and experience
- 7–10 years in ML/AI architecture with production MLOps experience.
- Hands-on MLflow, Databricks ML, and/or Vertex AI pipelines and model registries.
- Experience designing cloud-agnostic ML platforms and CI/CD for ML.
- Good understanding of vector search, embeddings and GPU/compute optimisation.
Good to have
- Exposure to GenAIOps, LLM gateways and RAG patterns.
- Insurance or BFSI ML use cases (fraud, churn, claims).
Certifications (within 90 days of assignment)
- Databricks ML Professional / Generative AI Engineer
- GCP Professional Machine Learning Engineer
- HashiCorp Terraform Associate
Other Requirements
Information at a Glance