MLOps Engineer (Azure & Databricks)

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

Job summary

Consult Asia is seeking a skilled ML Engineer to design, build, and deploy ML models using Python and Azure Databricks. You will collaborate across teams to translate requirements into scalable ML solutions.

Responsibilities include developing pipelines, implementing MLOps, managing model lifecycle, and ensuring performance and CI/CD integration in cloud environments.

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.

Responsibilities

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

Skills

ML engineering

Python (OOP)

MLOps

Databricks

Azure ML

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