ML Ops Manager
ML Ops Manager
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Job Description
We are looking for an experienced MLOps Manager with a proven track record of leading teams in designing building and managing machine learning infrastructure and pipelines in on-premises environments. The ideal candidate will bring 9 years of experience in DevOps / MLOps including hands-on leadership in delivering multiple end-to-end MLOps projects. You will oversee the MLOps function enabling scalable secure and efficient ML operations while collaborating closely with Data Science IT and Engineering teams.
Key Responsibilities
Lead the design development and management of robust ML pipelines and infrastructure in on-premises or private cloud environments.
Define and drive MLOps strategy and best practices for model deployment monitoring and lifecycle management.
Oversee the implementation and governance of Infrastructure as Code (IaC) using tools like Ansible Terraform (for private cloud) or Puppet.
Manage mentor and guide MLOps engineers fostering a high-performing and collaborative team.
Collaborate with cross-functional teams to align MLOps solutions with business and data science objectives.
Drive automation and standardization of CI/CD pipelines model versioning and container orchestration (e.g. Docker Kubernetes OpenShift).
Ensure comprehensive documentation of infrastructure architecture and operational workflows using tools like Confluence GitHub Wikis and system diagrams.
Identify and implement optimization opportunities for ML infrastructure performance cost and scalability.
Stay updated on industry trends and emerging technologies to continuously enhance MLOps capabilities.
Qualifications :
9 years of experience in DevOps / MLOps with at least 4 years in a leadership or managerial role.
Demonstrated success in delivering multiple MLOps projects in on-premises or private cloud environments.
Deep expertise in on-prem containerization and orchestration (e.g. Docker Podman Kubernetes OpenShift Rancher).
Strong experience with Infrastructure as Code (e.g. Ansible Puppet Terraform (private cloud)).
Proficient in automation and scripting using Python Bash or similar tools.
Solid grasp of MLOps best practices including CI/CD model monitoring and compliance.
Hands-on experience with version control and CI/CD tools (e.g. Git GitHub/GitLab Jenkins GitLab CI GitHub Actions).
Excellent leadership project management and stakeholder communication skills.
Ability to drive a culture of continuous improvement innovation and collaboration.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
