ML Platform Engineer

2 weeks ago

Pune, India Luxoft Full time

Project descriptionWe 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- DevOps/Platform Engineers+Cloudera or Azure+Python+ML- Hands-on experience with CDSW (Cloudera Data Science Workbench) or similar ML/AI platforms.- Strong expertise in containerization and orchestration using Docker and Kubernetes (AKS preferred).- Proficiency in Python programming (enterprise-level applications, automation, and scripting).- Experience with Ansible for infrastructure as code (IaC), deployment automation, and configuration management.- Strong knowledge of Unix/Linux systems (administration, troubleshooting, performance tuning).- Practical experience with GitLab for source control and CI/CD pipeline automation.- Deep understanding of MLOps principles and best practices (deployment, monitoring, lifecycle management of ML workloads).- Experience in designing, developing, and maintaining distributed systems and services.- Proven ability in patching, updating, and maintaining platform infrastructure.Nice-to-Have Skills- Previous banking domain Exp- Familiarity with Cloudera CDP ecosystem (beyond CDSW).- Knowledge of monitoring & observability tools (Prometheus, Grafana, ELK).- Exposure to Airflow, MLflow, or Kubeflow for workflow and ML lifecycle orchestration.- Cloud platform experience with Azure (AKS, networking, storage, monitoring)

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