MLOps Engineer - Cloud Infrastructure

Description :

Role : MLOps Engineer.

Position : MLOps Engineer.

Experience Level : 3+ years.

About Us :

Celebal Technologies is a leading Solution Service company that provide Services the field of Data Science, Big Data, Enterprise Cloud & Automation.

We are at the forefront of leveraging cuttingedge technologies to drive innovation and enhance our business processes.

As part of our commitment to staying ahead in the industry, we are seeking a talented and experienced Data & AI Engineer with strong Azure cloud competencies to join our dynamic team.

Job Summary :

We are seeking a highly skilled Databricks MLOps Engineer to join our data and AI engineering team.

The ideal candidate will have strong hands-on experience with the Databricks ecosystem and a proven track record of deploying, operationalizing, and maintaining machine learning models at scale.

You will work closely with data scientists, data engineers, and business stakeholders to build robust, automated, and reliable ML pipelines in a production environment.

Key Responsibilities :

Databricks Platform Management :

• Work extensively with Databricks Workspaces, Jobs, Workflows, Unity Catalog, Delta Lake, and MLflow for experiment tracking and model lifecycle management.
• Manage and optimize Databricks clusters, compute resources, and workspace permissions.
• End-to-End ML Lifecycle (MLOps).
• Implement and manage the complete ML lifecycle including model training, versioning, deployment, monitoring, and retraining.
• Design and support model deployment strategies such as A / B testing, blue-green deployments, and canary releases.

Programming & Development :

Cloud & Infrastructure :

CI / CD & Automation :

Monitoring & Observability :

Feature Engineering & Optimization :

Collaboration & Documentation :

(ref : hirist.tech)