Hybrid MLOps Specialist – AI & Data Hub

Posted last month

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About the role

  • MLOps Specialist at EY-Parthenon responsible for ML operations frameworks. Collaborate with teams to deploy, monitor, and scale AI/ML models in production environments.

Responsibilities

  • Automate model deployment and versioning across environments.
  • Monitor model performance and drift to maintain accuracy over time.
  • Manage full AI lifecycle: training, deployment, and retraining.
  • Implement CI/CD pipelines for rapid and reliable AI updates.
  • Ensure compliance with governance and risk management frameworks.

Requirements

  • A Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields.
  • +3 years of experience in MLOps or ML engineering roles.
  • Strong proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch).
  • Hands-on experience with cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes).
  • Knowledge of CI/CD tools (GitHub Actions, Jenkins) and model monitoring frameworks.
  • Familiarity with data pipelines, API integration, and security best practices.
  • Fluent in English (written and spoken).

Benefits

  • Support, coaching and feedback from some of the most engaging colleagues around.
  • Opportunities to develop new skills and progress your career.
  • The freedom and flexibility to handle your role in a way that’s right for you.
  • The exceptional EY experience.

Job title

MLOps Specialist – AI & Data Hub

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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