Machine Learning Engineer
Kanadevia Inova · Zurich, Zurich, Switzerland
Services for Renewable Energy · 1,001-5,000 employees
About the role
Industrialize and operate AI/ML solutions by transforming prototypes into scalable, production-ready applications. Design, implement, and maintain end-to-end MLOps pipelines while collaborating with cross-functional teams to ensure reliability and performance.
What they look for
Requirements
Requires an MSc in Computer Science or a STEM field with strong Python programming skills and hands-on experience with machine learning frameworks. Candidates must have a solid understanding of MLOps practices and experience with cloud platforms, containerization, and data processing.
Full description
Company Description
Welcome to Kanadevia Inova, a global innovation leader in the waste infrastructure space, where we believe in creating a sustainable future through technology and innovation. 
Transforming Waste into Value
At Kanadevia Inova, we pride ourselves on being at the forefront of waste-to-X technology. We are not just waste managers; we are creators of value from what communities discard. Your role at Kanadevia Inova directly contributes to turning something once considered useless - waste - into something invaluable: energy, heat, hydrogen, fertilizer, and beyond.
Job Description
- Industrialise and operate AI/ML solutions by transforming prototypes into scalable, production-ready applications.
- Design, implement, and maintain end-to-end MLOps pipelines covering training, validation, deployment, monitoring, and retraining.
- Collaborate closely with Data Scientists, Data Engineers, Software Engineers, Product Managers, and business stakeholders to deliver AI solutions.
- Ensure reliability, security, compliance, data integrity, performance, and governance throughout the machine learning lifecycle.
- Monitor and optimise model performance, troubleshoot production issues, and support continuous improvement while mentoring less experienced colleagues.
Qualifications
- MSc in Computer Science or a STEM field with a strong computer science focus, plus experience working in agile software development environments.
- Strong Python programming skills and hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
- Solid understanding of MLOps practices, including model deployment, versioning, monitoring, and lifecycle management in production environments.
- Experience with cloud platforms (preferably Azure), containerisation technologies (Docker), APIs, databases, and distributed systems.
- Knowledge of data engineering and data processing frameworks; experience with industrial IoT, time-series data, computer vision, or Physics-AI solutions is advantageous.
Additional Information
For HR agencies: Please note that we do not accept applications coming from agencies. Thank you.
