Senior ML Platform engineer

As a skilled ML Platform Engineer, your role will involve automating, deploying, patching, and maintaining the machine learning platform infrastructure. You should have hands-on experience with tools such as Cloudera Data Science Workbench (CDSW), Cloudera Data Platform (CDP), Docker, Kubernetes, Python, Ansible, GitLab, and be familiar with MLOps best practices. Key Responsibilities: - Automate deployment and management processes for machine learning platforms using Ansible and Python. - Deploy, monitor, and patch ML platform components like 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 to minimize downtime and optimize performance. - Implement best practices for security, scalability, and automation within the ML platform ecosystem. Qualifications Required: - Experience with CDSW or CDP. - Proficiency in Docker and Kubernetes for containerization and orchestration. - Strong scripting and automation skills in Python and Ansible. - Familiarity with GitLab for source control and CI/CD automation. - Understanding of MLOps principles. - Knowledge in patching, updating, and maintaining platform infrastructure. - Profound Unix knowledge. - Excellent problem-solving skills and collaborative teamwork approach. - Strong experience in Python programming for enterprise-level applications. - Proficient in designing, developing, and maintaining distributed systems and services. - Experience with Ansible automation tool for platform IaC, deployment automation, and configuration management. Location: Kharadi (Pune) Experience: 6-13 years Work Mode: Hybrid (3 days in office),