Manager, AI/ML Ops Engineering (Hybrid in Bangalore)
Core
Leading a team of AI/ML Ops engineers to build scalable, reliable, and cost-efficient MLOps workflows and platform systems for an enterprise SaaS work management platform.
Role type
Manager, AI/ML Ops Engineering
Builds
AI/ML Ops platform systems, CI/CD/CT pipelines, and scalable ML workflows for enterprise SaaS.
Domain
Enterprise SaaS / Intelligent Work Management / AI/ML Operations
Deliverable
production ML models | infrastructure
Required skills
Team leadership and mentoring, AI/ML Ops platform architecture, CI/CD/CT pipeline design, Cloud platform management (AWS/Azure/GCP), Python, SQL, Kubernetes, Infrastructure as Code (Terraform), Observability, Cost optimization.
Preferred skills
Experience with Databricks, MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph, LangChain, LangGraph.
Technologies
Databricks, MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph, LangChain, LangGraph, Kubernetes, Terraform, AWS, Azure, GCP.
Responsibilities
Lead and mentor a team of AI/ML Ops engineers; Define and govern AI/ML operations solutions for scalability and reliability; Develop standardized AI/MLOps workflows including CI/CD/CT pipelines; Review team designs for deployment safety, resilience, and security; Ensure all changes are tested and deployment plans include scalability/load tests; Align AI projects with business strategies; Ensure adherence to regulatory compliance and ethical guidelines; Drive engineering and operational excellence initiatives.
Seniority
Manager, hands-on leadership
