C5i - MLOps Engineer

Job Description :

We are looking for an experienced MLOps Engineer to join our team.

The ideal candidate will design, implement, and manage robust MLOps pipelines, enabling seamless deployment and monitoring of machine learning models.

This role offers the opportunity to work on cutting-edge AI solutions and drive efficiency in ML workflows.

Key Responsibilities :

• Design, develop, and maintain end-to-end MLOps pipelines for model training, deployment, and monitoring.
• Collaborate with data scientists and engineers to productionize ML models efficiently.
• Implement CI / CD pipelines for ML workflows using tools such as Jenkins, GitHub Actions, or Azure DevOps.
• Manage containerization and orchestration using Docker and Kubernetes.
• Utilize workflow orchestration tools like Apache Airflow or Kubeflow for scheduling and automation.
• Implement and maintain model monitoring, observability, and drift detection frameworks.
• Optimize model performance, ensure version control, and maintain reproducibility across environments.
• Automate data ingestion, feature engineering, and model retraining pipelines.
• Ensure security, compliance, and governance in model lifecycle management.
• Collaborate with cross-functional teams to establish best practices for MLOps and cloud operations.
• Provide support and documentation for model deployment and maintenance processes.

Required Skills :

Qualifications :

(ref : hirist.tech)