AI ML Ops Software Engineer (Bangalore Hybrid)
Core
Designing, developing, and maintaining stable and reliable AI/ML Ops platforms and pipelines to orchestrate AI agents and automate manual tasks.
Role type
Senior IC AI/ML Ops Software Engineer
Builds
AI/ML services, CI/CD pipelines, and infrastructure for training and serving foundation models and RAG stacks.
Domain
Enterprise SaaS, AI/ML Operations, Cloud Infrastructure
Deliverable
production ML models
Required skills
AI/ML frameworks (LangChain, LangGraph), MLOps tools (MLflow, Mosaic AI Agent Framework, Unity Catalog), Cloud platforms (AWS, Azure, GCP), Python, SQL, Kubernetes, CI/CD, Infrastructure as Code (Terraform), Vector Search, Knowledge Graphs, GPU/CPU resource management
Preferred skills
Monte Carlo, AWS Bedrock, Databricks Lakehouse ecosystem
Technologies
Docker, Kubernetes, Terraform, MLflow, Mosaic AI Agent Framework, Unity Catalog, AWS Bedrock, Vector DBs, Knowledge Graphs, LangChain, LangGraph, Databricks
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; 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
