MLOps Engineer — Databricks

MLOps Engineer — Databricks

Client : A large global enterprise (name not disclosed)

Location : India

Work Model : 100% Remote

Contract : 6 months (initial) with possibility of extension

Start Date : ASAP

Engagement : Full-time / Long-term contract

Role Overview

We are seeking an experienced Databricks MLOps Developer to design, build, and manage scalable machine learning operations on the Databricks Lakehouse Platform. The role involves automating ML workflows, operationalizing models, enabling reproducible pipelines, and ensuring governance and monitoring across the ML lifecycle.

Key Responsibilities

1. Develop Scalable MLOps Pipelines

• Build automated ML pipelines for training, validation, deployment, and batch / real-time inference.
• Use Databricks Workflows, Jobs, Repos , and Delta Live Tables where applicable.
• Implement distributed training and inference pipelines using MLflow + PySpark .

2. Model Lifecycle Management

3. CI / CD Integration

4. Feature Engineering & Data Pipelines

5. Monitoring & Governance

6. Cross-Functional Collaboration

Required Skills & Qualifications

Preferred Qualifications