MLOps Engineer (Azure & Databricks)

Consult Asia; Delhi; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Consult Asia seeks an ML Engineering/MLOps specialist to design, build, and deploy ML models using Python and Databricks in cloud environments. You will develop scalable pipelines and implement MLOps practices across the model lifecycle with strong focus on performance and monitoring.

Experience with Azure ML and cloud-based ML systems, plus problem solving and collaboration skills, is essential to succeed in a fast-paced team.

Qualifications

• Experience in ML engineering/MLOps with Python (OOP), hands-on Databricks and Azure ML.
• Expertise in model deployment, pipelines, and cloud-based ML systems.

Responsibilities

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

Skills

Python (OOP)

ML engineering

MLOps

Problem solving

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