MLOps Engineer (Azure & Databricks)

Consult Asia; Khordha; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Consult Asia is seeking an ML Engineer to design, build, and deploy ML models using Python and Azure Databricks. You will develop scalable ML pipelines, implement MLOps, manage model lifecycle, and ensure performance, monitoring, and CI/CD in cloud environments.

Experience with Databricks, Azure ML, and cloud-based ML systems is required. Strong problem-solving and collaboration skills are essential for success.

Qualifications

• Experience in ML engineering/MLOps with Python (OOP).
• Hands-on Databricks and Azure ML expertise.
• Expertise in model deployment 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, performance, monitoring, and CI/CD in cloud environments.

Skills

Python OOP

ML engineering

MLOps

Model deployment

Collaboration

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