Celebal Technologies - MLOps Engineer

Job Description :

Key Responsibilities :

ML Pipeline Design & Automation :

• Build and maintain CI / CD & CT (Continuous Training) pipelines for ML models using Azure DevOps and Databricks Asset Bundles.
• Automate data preprocessing, training, inference and retraining workflows for large-scale ML deployments.
• Implement incremental backfills and rolling window retraining for time-series forecasting.

Deployment & Infrastructure :

Data & Model Governance :

Monitoring & Observability :

Required Skills & Experience :

Core MLOps Skills :

Programming & Tools :

Testing & Quality :

Soft Skills :

Good to Have :

(ref : hirist.tech)