ML Infrastructure Architect

2 days ago


Pune, Maharashtra, India beBeeEngineer Full time ₹ 20,00,000 - ₹ 50,00,000
Machine Learning Platform Engineer

We are seeking a highly skilled Machine Learning Platform Engineer to join our team. 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.

Required Skills and Qualifications:

  • Experience with CDSW (Cloudera Data Science Workbench) or Cloudera Data Platform (CDP)
  • 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

Benefits:

Hybrid work mode (3 days in office)

6-13 years of experience

Location: Kharadi (Pune)



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