Senior Machine Learning Engineer – MLOps
Location: Bangalore, Karnataka, India
Industry: Consumer Health / Healthcare Products
Employment Type: Full time
Work Arrangement: Hybrid
About the Role
An established global consumer health organization is seeking a Senior Machine Learning Engineer – MLOps to design, automate, and manage the lifecycle of machine learning models.
The role focuses on building scalable, high-performance ML infrastructure on Microsoft Azure, bridging data science and production engineering. A key focus will be developing reusable, secure and cost-optimized deployment frameworks that enable ML solutions to move efficiently from development through to production.
Key Responsibilities
Pipeline Architecture & Automation
Design and manage end-to-end ML pipelines using Azure Machine Learning, Databricks and Py Spark. Build and maintain automated CI/CD pipelines using Git Hub Actions. Integrate Sonar Qube and other automated quality and security controls. Develop reusable, modular templates for different ML use cases.



Improve deployment efficiency and operational scalability across the organization. Deployment & Orchestration
Containerize and deploy machine learning models using Docker and Azure Kubernetes Service (AKS). Design and manage secure, robust APIs supporting interactions between ML models and downstream applications. Contribute to broader solution architecture and ensure ML components are modular and scalable. Support high availability and seamless scaling of production ML workloads. Optimization & Governance
Manage the machine learning model lifecycle from development through production. Monitor models for data drift and implement automated data-refresh checks. Optimize models and infrastructure to maintain performance and accuracy. Implement cost-monitoring strategies for high-compute training and deployment environments. Create detailed technical documentation covering workflows, pipeline templates and optimization approaches. Collaborati

📌 Senior machine learning engineer (Bengaluru)
🏢 SoTalent
📍 Bengaluru