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 PySpark.
- Build and maintain automated CI/CD pipelines using GitHub Actions.
- Integrate SonarQube 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

📌 Senior Machine Learning Engineer (Bengaluru)
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