Master Thesis focusing on developing machine learning models for lithium - ion cell sorting at Fraunhofer LBF. Involvement in innovative projects addressing circular economy in battery recycling.
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
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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