Walk-in || Machine Learning Operations (ML Ops) Engineer

Job Description : MLOps Engineer

Machine Learning Operations (ML Ops) Engineer

Role Overview

The ML Ops Engineer is responsible for operationalizing machine learning models by building reliable, scalable, and governed pipelines that support the full ML lifecycle from development to production. The role ensures models are deployed efficiently, monitored continuously, and integrated seamlessly into data and business platforms.

Key Responsibilities

• Build and maintain end to end ML pipelines including data preparation, model training, deployment, and monitoring.
• Automate model deployment using CI/CD practices.
• Manage model versioning, experiment tracking, and reproducibility.
• Monitor model performance, data drift, and system reliability in production.
• Collaborate with data scientists and data engineers to productionize models.