MLOps (Machine Learning Operations Engineer)

Job Summary:We are looking for an MLOps Engineer to deploy, manage, and maintain Machine Learning (ML) models in production. The ideal candidate will work closely with Data Scientists and Software Engineers to automate ML workflows and ensure models run reliably and efficiently.

Key Responsibilities

Deploy and maintain machine learning models in production.Build and automate ML pipelines for training, testing, and deployment.Monitor model performance and troubleshoot issues.Work with Docker, Kubernetes, and cloud platforms.Implement CI/CD pipelines for machine learning projects.Collaborate with Data Scientists and Software Engineers.

Requirements

Experience with Python.Knowledge of machine learning concepts and workflows.Experience with Docker and Kubernetes.Familiarity with CI/CD tools such as Jenkins or GitHub Ations.Experience with cloud platforms such as AWS, Azure, or GCP.Knowledge of ML tools such as MLflow is a plus.3+ years of relevant experience preferred.