Location: Zurich
Salary: up to 150,000 CHF
Opportunity to join a leading consultancy as a Senior MLOps Engineer.
You’ll be responsible in bridging the gap between data science and engineering, ensuring our models seamlessly transition from research to production.
Key Responsibilities:
- Guide a team of MLOps engineers, fostering a collaborative and high-performing environment.
- Oversee the end-to-end deployment of machine learning models, including infrastructure setup, pipeline creation, and monitoring.
- Design and implement robust MLOps architectures that scale efficiently and reliably.
- Collaborate with data scientists to optimize and fine-tune models for production environments.
- Provide ongoing support for deployed models, addressing issues and ensuring optimal performance.
Required Skills and Experience:
- Proven experience in leading MLOps projects.
- Deep understanding of MLOps principles and practices.
- Proficiency in ML frameworks (TensorFlow, PyTorch, etc.) and cloud platforms (AWS, GCP, Azure).
- Experience with CI/CD pipelines and containerization technologies (Docker, Kubernetes).
