MLOps Engineer (Azure & Databricks)

Consult Asia; Pune District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Consult Asia seeks an ML Engineer with strong MLOps experience to design, build, and deploy ML models using Python and Azure Databricks in a cloud environment. You will develop scalable pipelines, implement MLOps practices, and manage the full model lifecycle with monitoring and CI/CD integration.

The role requires hands-on Databricks and Azure ML expertise, proficiency in deploying models, and collaboration across teams to deliver robust cloud-based ML systems.

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.

Responsibilities

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

Skills

Python (OOP)

ML engineering

MLOps

Cloud ML

Tools

Databricks

Azure ML

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