MLOps Engineer (Azure & Databricks)

Consult Asia; New Delhi; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

Consult Asia is seeking an ML/MLOps engineer to design, build, and deploy models using Python and Azure Databricks. You will develop scalable pipelines, implement MLOps practices, and manage the model lifecycle with emphasis on performance and monitoring in cloud environments.

The role requires hands-on Databricks and Azure ML experience, plus strong problem-solving and collaborative skills to drive cloud-based ML systems forward.

Qualifications

• Experience in ML engineering/MLOps with Python (OOP).
• Hands-on Databricks and Azure ML experience.
• Experience deploying models and building ML pipelines.
• Knowledge of cloud-based ML systems and monitoring.

Responsibilities

• Design, build, and deploy ML models using Python and Azure Databricks.
• Develop scalable ML pipelines and data workflows.
• Implement MLOps practices and automate CI/CD for ML systems.
• Manage model lifecycle and performance monitoring in cloud environments.

Skills

Python (OOP)

Databricks

Azure ML

MLOps

Tools

CI/CD tools

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