Data/ML & AI Platform Engineering Head in Bangalore, भारत

ROLE OVERVIEW : The Head of Data, ML & AI Platform Engineering will serve as the executive technical leader responsible for building, scaling, and operationalizing next-generation data infrastructure, machine learning execution engines, and enterprise AI platform https://jobeax.com/link/9YXbVNkqxEtAJLMV high-impact role brings together Data Engineering, ML Engineering, MLOps, LLMOps/Agentic AI Infrastructure, Enterprise Decisioning Platforms, and SRE/DataOps into a cohesive, production-grade engineering https://jobeax.com/link/BlfzrR6vDTAYAy98 Responsibilities : - Engineering Leadership : Build, scale, and mentor Data Engineering, ML Engineering, MLOps, and AI Platform engineering teams while establishing engineering best practices and operational rigor across squads.- Enterprise Decisioning Platform : Design, operationalize, and scale a centralized decisioning platform integrating low-code model development, AutoML, real-time rule engines, policy-as-code, real-time scoring, and automated workflow execution.- Data Platform Architecture : Lead the strategic vision and implementation of scalable, cloud-native Lakehouse architectures using technologies such as Databricks, Delta Lake, Unity Catalog, DLT, and Spark for high-volume batch and real-time streaming workloads.- MLOps & LLMOps Standardization : Establish standardized, production-grade MLOps frameworks along with scalable LLM and Agentic AI infrastructure.- Production Deployment & Scaling : Partner closely with Data Science teams to enable seamless and automated transition of machine learning and deep learning models from experimentation to highly available production environments.- Operational Excellence & SRE : Lead DataOps and SRE functions to ensure high platform availability, proactive automated testing, self-healing systems, and continuous CI/CD delivery.- Model & Data Governance : Operationalize comprehensive model lifecycle governance and regulatory compliance frameworks aligned with applicable financial-services regulations, data-protection requirements, and internal risk policies.- Observability & System Health : Establish end-to-end telemetry and https://jobeax.com/link/rW4cEghczknrJzlo : - 15 - 20 years of total experience- 8+ years in senior management - platform leadership- Only from Top-tier education - IIT / IISc / BITS / NIT / IIIT- Strong Data Engineering & Data Platform Architecture- Deep MLOps - ML Platform experience- AI/LLMOps - Agentic AI infrastructure- Cloud & Infrastructure - AWS/GCP, Kubernetes, Docker, IaC- Large-scale engineering leadership- Fintech/NBFC/Banking + lending/credit/risk/fraud exposure- Real-time decisioning + production-grade platform experience (ref:hirist.tech)