MLOps Engineer – Databricks

Location

The successful candidate shall be placed at Gurgaon/ Pune/ Bangalore Location. It is a Full-time Job, “No” remote work. MLOps Engineer – Databricks willing to work on a 3-months contract may apply.

Experience

Candidates should have experience between 4-6 years

Role Description

About the Role

We are looking for an experienced MLOps Engineer to operationalize and deploy a classification model end-to-end within our Databricks environment. The role involves building production-grade ML pipelines, enabling model serving, and integrating model outputs with existing CRM systems. This is a hands-on role focused on model deployment, monitoring, and integration into downstream business workflows.

Required

Skills & Qualifications

- 4–6 years of experience in MLOps / ML Engineering / Data Engineering roles
- Strong hands-on experience with Databricks MLOps, including:
- Model serving
- MLflow
- Unity Catalog
- Experience building production-grade ML pipelines
- Ability to connect ML model outputs to CRM or downstream enterprise systems
- Familiarity with end-to-end model deployment, including:
- Feature engineering
- Model training & validation
- Deployment
- Monitoring
- Basic knowledge of Dataiku (working familiarity is sufficient)

Nice to Have

- Experience working in enterprise or regulated environments
- Exposure to CI/CD practices for ML pipelines
- Understanding of data governance and access control in cloud platforms