MLOps Engineer (Azure & Databricks)

Consult Asia; Mumbai Suburban; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Consult Asia in Mumbai seeks an ML Engineer to design, build and deploy ML models using Python in cloud environments. You will develop scalable ML pipelines and contribute to MLOps practices, focusing on model lifecycle, performance monitoring, and CI/CD integration.

You will collaborate across teams to deploy cloud-based ML systems, apply best practices in data handling, and continuously improve modeling workflows in Databricks and Azure ML.

Qualifications

• Experience in ML engineering/MLOps with Python (OOP).
• Hands-on Databricks and Azure ML expertise.
• Expertise in model deployment, pipelines, and cloud-based ML systems.

Responsibilities

• Design, build and deploy ML models using Python in cloud environments.
• Develop scalable ML pipelines and contribute to MLOps practices.
• Manage model lifecycle with performance monitoring and CI/CD integration.
• Collaborate across teams to deploy cloud-based ML systems.
• Apply best practices in data handling and workflow automation.

Skills

Python (OOP)

Problem solving

Collaboration

MLOps

Tools

Databricks

Azure ML

CI/CD

Job description

Design, build, and deploy ML models using Python and Azure Databricks. Develop scalable ML pipelines, implement MLOps practices, manage model lifecycle, and ensure performance, monitoring, and CI/CD integration in cloud environments.

Required Candidate profile

Experience in ML engineering/MLOps with Python (OOP), hands-on Databricks and Azure ML. Expertise in model deployment, pipelines, and cloud-based ML systems. Good problem-solving and collaboration