MLOps Engineer (Azure & Databricks)

Consult Asia; Thane; 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 in cloud environments. You will develop scalable pipelines with Python, experiment with Databricks, and implement MLOps practices to enable reliable CI/CD and model lifecycle management.

You should have hands-on experience with Python OOP, Databricks, and Azure ML, plus strong problem-solving and collaboration skills to work across teams on production deployments and monitoring.

Qualifications

• Experience in ML engineering/MLOps with Python (OOP).
• Hands-on Databricks and Azure ML experience.
• 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 in cloud environments.
• Ensure performance, monitoring, and CI/CD integration in cloud environments.

Skills

Python (OOP)

Databricks

Azure ML

MLOps

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