MLOps Engineer (Azure & Databricks)

Consult Asia; Jaipur; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Consult Asia in Jaipur seeks an ML Engineer to design, build, and deploy ML models using Python and Azure Databricks.

You will develop scalable ML pipelines, implement MLOps, and manage the model lifecycle with performance monitoring, CI/CD, and cloud integration.

The role requires strong problem-solving and collaboration skills to deliver robust cloud-based ML systems. Experience with Azure ML and Databricks is preferred, and you will work with data scientists and software engineers.

Qualifications

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

Responsibilities

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

Skills

ML engineering

MLOps

Python (OOP)

Azure Databricks

Azure ML

Model deployment

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