ML Platform Engineer (Cloudera or Azure + Python + ML)

Project description

We are seeking a skilled ML Platform Engineer, responsible for automating, deploying, patching, and maintaining our machine learning platform infrastructure. The ideal candidate will have hands-on experience with Cloudera Data Science Workbench (CDSW), Cloudera Data Platform (CDP), Docker, Kubernetes, Python, Ansible, GitLab, and MLOps best practices.

Responsibilities

• Automate deployment and management processes for machine learning platforms using tools such as Ansible and Python.
• Deploy, monitor, and patch ML platform components, including Cloudera Data Science Workbench (CDSW), Docker containers, and Kubernetes clusters.
• Ensure high availability and reliability of ML infrastructure through proactive maintenance and regular updates.
• Develop and maintain comprehensive documentation for platform configurations, processes, and procedures.
• Troubleshoot and resolve platform issues, ensuring minimal downtime and optimal performance.
• Implement best practices for security, scalability, and automation within the ML platform ecosystem.

Mandatory Skills

Nice-to-Have Skills