
ML Infrastructure Architect
2 days ago
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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