MLOps Engineer (Azure & Databricks)

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

Job summary

Consult Asia in India is seeking an ML Engineer to design, build and deploy ML models using Python and Azure Databricks. You will develop scalable pipelines and implement MLOps practices across the model lifecycle.

You will ensure performance monitoring and CI/CD integration in cloud environments, collaborating across teams to deliver reliable ML solutions.

Qualifications

• Experience in ML engineering/MLOps with Python (OOP).
• Hands-on Databricks and Azure ML.
• Experience deploying models and building pipelines in cloud 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 in cloud environments.

Skills

ML engineering

MLOps

Python (OOP)

collaboration

problem-solving

Tools

Python

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