Real job — pulled straight from Kanade Via Nova’s careers page · Verified September 24, 2026 · No reposts.
Job description
Kanade Via Nova is hiring a Machine Learning Engineer — a full-time, based in Zürich, ZH role. Apply directly on Kanade Via Nova's careers page below.
Machine Learning Engineer
Location: Zürich, ZH, ch
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.
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Frequently asked questions
What skills are required for Machine Learning Engineer at Kanade Via Nova?
The required skills for Machine Learning Engineer at Kanade Via Nova include: Python, PyTorch, TensorFlow, Scikit-learn, MLOps, Docker, API, Azure, SQL, Computer Vision, Machine Learning, Data Engineering.
What is the seniority level for Machine Learning Engineer at Kanade Via Nova?
Machine Learning Engineer at Kanade Via Nova is a Mid Level level position.
How do I apply for Machine Learning Engineer at Kanade Via Nova?
You can view the full description and apply for Machine Learning Engineer at Kanade Via Nova on EchoJobs: https://echojobs.io/job/kanade-via-nova-machine-learning-engineer-8adhr.