AI ML Ops Software Engineer (Bangalore Hybrid)

Overview

Build and operate reliable AI/ML Ops platforms and pipelines for deploying, monitoring, and optimizing AI/ML services at scale.

What you'll do

• Design and maintain stable AI/ML Ops platforms and pipelines.
• Package and deploy AI/ML services to production.
• Develop automated CI/CD pipelines for model deployment.
• Provision infrastructure using Docker, Kubernetes, or serverless platforms.
• Monitor model performance, data drift, and latency after deployment.
• Automate retraining and data pipeline workflows.
• Manage foundation models, fine-tuning workflows, and RAG stacks.

What you'll need

• 4–6 years of AI/ML Ops experience.
• Experience building scalable, reliable, efficient, and secure AI/ML Ops platforms.
• Experience with Databricks Lakehouse, MLflow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, and Knowledge Graph.
• Knowledge of LangChain and LangGraph for pipeline integration.
• Hands-on experience with AWS, Azure, or GCP.
• Programming skills in Python and SQL.
• Experience with Kubernetes, CI/CD, infrastructure-as-code, observability, monitoring, and alerting.

Nice to have

• Experience with Monte Carlo.
• Experience with AWS Bedrock.
• Experience with AWS-hosted data platforms.
• Experience with Terraform.

Details

• Location: Bangalore, India.
• Hybrid work arrangement.
• Must be legally eligible to work in India on an ongoing basis.