Senior AI/ML Ops Engineer I(Hybrid Bangalore India)
Core
Design, develop, and maintain stable AI/ML Ops platforms and pipelines to deploy and monitor AI agents and foundation models.
Role type
Senior AI/ML Ops Engineer
Builds
Production-ready AI/ML services, CI/CD pipelines, and automated retraining workflows for AI agents and RAG stacks.
Domain
Enterprise SaaS, AI/ML Infrastructure, Cloud Platforms
Deliverable
production ML models
Required skills
AI/ML Ops platform design, CI/CD pipeline development, Kubernetes, Docker, Python, SQL, Databricks Lakehouse ecosystem, MLflow, Terraform, AWS, GPU/CPU resource optimization, Vector Search, Knowledge Graph, LangChain, LangGraph
Preferred skills
Monte Carlo observability, AWS Bedrock, Mosaic AI Agent Framework, Unity Catalog
Technologies
Kubernetes, Docker, Terraform, AWS, Databricks, MLflow, Monte Carlo, LangChain, LangGraph, Vector DBs, Knowledge Graphs
Responsibilities
Package and deploy AI/ML services to production; Design and implement automated CI/CD pipelines; Provision and optimize infrastructure for training and serving; Implement post-deployment monitoring for model performance and data drift; Automate retraining and data pipeline workflows; Manage deployment of foundation models and RAG stacks; Manage GPU/CPU utilization to minimize cloud costs; Collaborate with data scientists and engineers to bridge model development and production; Manage versioning for data, code, and models; Implement data security measures and compliance; Diagnose and resolve complex data-related issues.
Seniority
Senior, hands-on IC
