{"id":4041226,"url":"https://alion.io/job/hcltech-senior-technical-specialist-199","title":"Senior Technical Specialist","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Sales","role_family":"Sales","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, 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Architecture; Standardized AI/ML Framework; MLOps Maturity; AI/ML Infrastructure Enhancements\n\nLocation\n\nPrudential VCC Bangalore (preferred)\n\nRole summary\nLead the design and conformance of the cloud-agnostic MLOps framework and AI/ML infrastructure (vector search, embeddings) across Azure Databricks and GCP Vertex AI.\nKey Responsibilities\nMaintain the standardised AI/ML framework design covering experimentation, code versioning, CI/CD, feature management, deployment, inference and monitoring.\nValidate the AI/ML infrastructure baseline at mobilisation, close spillover and support adoption; do not restart completed work.\nGuide self-service Terraform templates for vector search and embedding infrastructure in Databricks and Vertex AI.\nOversee MLOps framework rollout to remaining LBUs and ensure co-existence with the AI Platform (Scope 3) capabilities.\nReview designs from ML Integration Engineers for security, scalability and Group standards alignment.\nSkill Requirements\nMust-have skills and experience\n7-10 years in ML/AI architecture with production MLOps experience.\nHands-on MLflow, Databricks ML, and/or Vertex AI pipelines and model registries.\nExperience designing cloud-agnostic ML platforms and CI/CD for ML.\nGood understanding of vector search, embeddings and GPU/compute optimisation.\nGood to have\nExposure to GenAIOps, LLM gateways and RAG patterns.\nInsurance or BFSI ML use cases (fraud, churn, claims).\nCertifications (within 90 days of assignment)\nDatabricks ML Professional / Generative AI Engineer\nGCP Professional Machine Learning Engineer\nHashiCorp Terraform Associate\nOther 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