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.
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