MLOps Engineer (Azure & Databricks)

Consult Asia; Ernakulam; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

Consult Asia is seeking an ML Engineer to design, build, and deploy ML models using Python and Azure Databricks in an enterprise cloud setup. The role involves developing scalable pipelines, implementing MLOps, and managing end-to-end model lifecycles with performance monitoring and CI/CD integration.

The ideal candidate has hands-on Databricks experience, expertise in Azure ML, and strong collaboration skills to work across teams in a cloud-based environment.

Qualifications

• 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.

Responsibilities

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

Skills

Python (OOP)

Databricks

Azure ML

MLOps

CI/CD

Tools

Azure Databricks

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