MLOps Engineer (Azure & Databricks)

Consult Asia; Bengaluru; 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 in Azure Databricks. You will develop scalable ML pipelines, implement MLOps practices, and manage the full model lifecycle with monitoring and CI/CD integration in cloud environments.

The role requires hands-on experience with Databricks and Azure ML, strong problem-solving abilities, and collaboration across teams in Bengaluru, India.

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 skills.

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)

Problem solving

Collaboration

Tools

Azure 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