ML Platform Engineer

12 Hours ago • All levels • Devops

Job Summary

Job 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 include automating deployment and management processes, deploying, monitoring, and patching ML platform components, ensuring high availability and reliability through proactive maintenance, developing and maintaining documentation, troubleshooting and resolving platform issues, and implementing best practices for security, scalability, and automation.
Must have:
  • Experience with CDSW or similar data science platforms
  • Proficiency in containerization with Docker and Kubernetes
  • Python and Ansible for scripting and automation
  • GitLab for source control and CI/CD
  • Understanding of MLOps principles
  • Experience patching and maintaining platform infrastructure
  • Profound Unix knowledge
  • Excellent problem-solving and collaborative skills
  • Strong Python for enterprise applications
  • Experience with distributed systems design
  • Ansible for IaC and deployment automation
  • Strong problem-solving for complex systems
  • Good communication and teamwork skills
  • Fluent English
Good to have:
  • Agile environment experience
  • Previous banking domain experience

Job Details

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
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Automate deployment and management processes for machine learning platforms using tools such as Ansible and Python.

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Deploy, monitor, and patch ML platform components, including Cloudera Data Science Workbench (CDSW), Docker containers, and Kubernetes clusters.

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Ensure high availability and reliability of ML infrastructure through proactive maintenance and regular updates.

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Develop and maintain comprehensive documentation for platform configurations, processes, and procedures.

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Troubleshoot and resolve platform issues, ensuring minimal downtime and optimal performance.

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Implement best practices for security, scalability, and automation within the ML platform ecosystem.

Skills

Must have

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Experience with CDSW or similar data science platforms.

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Proficiency in containerization and orchestration using Docker and Kubernetes.

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Solid scripting and automation skills in Python and Ansible.

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Experience with GitLab for source control and CI/CD automation.

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Understanding of MLOps principles and practices.

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Familiarity with patching, updating, and maintaining platform infrastructure.

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Profound Unix knowledge

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Excellent problem-solving skills and a collaborative approach to team projects.

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Strong experience with Python programming language in developing enterprise level applications

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Proficient in designing, developing and maintaining distributed systems and services

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Experience in Ansible automation tool for platform IaC, deployment automation and configuration management

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Strong problem-solving skills with the ability to handle complex systems

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Good communication and teamwork skills, able to work independently and collaboratively with other teams to deliver quality software solution

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Fluent in English with the ability to explain complex concepts in simple terms

Nice to have

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Agile environment

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Previous banking domain

Other
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Languages

English: C1 Advanced

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Seniority

Senior

Pune, India

Req. VR-115893

AI/ML

BCM Industry

11/07/2025

Req. VR-115893

Apply for ML Platform Engineer in Pune

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