ML Platform Engineer [Exp with Cloudera CDP ecosystem]

Roles & Responsibilities

Project Description : We are seeking a skilled ML Platform Engineer, responsible for automating, deploying, patching, and maintaining our machine learning platform infrastructure. You need to 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 Description :

Nice-to-Have Skills Description :

Tell employers what skills you have

cloudera

Workbench

Airflow

Scalability

Kubernetes

Azure

High Availability

Cloud Storage

Distributed Systems

Configuration Management

Containerization

Performance Tuning

Docker

Data Science

Ansible

Orchestration

Python Programming