ML Platform Engineer

0 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

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

  • Experience with CDSW or similar data science platforms.
  • Proficiency in containerization and orchestration using Docker and Kubernetes.
  • Solid scripting and automation skills in Python and Ansible.
  • Experience with GitLab for source control and CI/CD automation.
  • Understanding of MLOps principles and practices.
  • Familiarity with patching, updating, and maintaining platform infrastructure.
  • Profound Unix knowledge
  • Excellent problem-solving skills and a collaborative approach to team projects.
  • Strong experience with Python programming language in developing enterprise level applications
  • Proficient in designing, developing and maintaining distributed systems and services
  • Experience in Ansible automation tool for platform IaC, deployment automation and configuration management
  • Strong problem-solving skills with the ability to handle complex systems
  • Good communication and teamwork skills, able to work independently and collaboratively with other teams to deliver quality software solution
  • Fluent in English with the ability to explain complex concepts in simple terms


Nice-to-Have Skills

  • Agile environment
  • Previous banking domain

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