Sr. Machine Learning Engineer- Support

Overview

Sr. MLOps Engineer to design, automate, and manage the lifecycle of machine learning models, building scalable ML infrastructure on Microsoft Azure.

What you'll do

• Design and manage end-to-end ML pipelines using Azure ML, Databricks, and PySpark.
• Build automated CI/CD pipelines with GitHub Actions and SonarQube for code quality and security.
• Create modular, reusable “plug-and-play” deployment frameworks for ML solutions.
• Containerize and deploy ML models using AKS and Docker, and manage API integration.
• Monitor models for data drift, optimize performance, and run automated data refresh checks.
• Provide technical documentation for workflows, templates, and optimization strategies.

What you'll need

• 5+ years of total experience with deep focus on the Azure MLOps tool stack.
• Bachelor’s degree in engineering, Computer Science, or a related field.
• Experience deploying and maintaining ML models in high-scale production environments.
• Hands-on expertise with Azure Machine Learning and Databricks.
• Strong understanding of Kubernetes (AKS) or API-based deployment platforms.
• Solid grasp of DevOps practices and containerization (Docker).
• Experience with code quality automation tools like SonarQube.

Details

• Location: Asia Pacific, India, Karnataka, Bangalore.
• Work location: Hybrid.
• Role reports to: Digital Solutions Manager.