Machine Learning Engineer für Kanadevia Inova in Zürich - myjob.ch
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      09.08.2026

      Machine Learning Engineer

      • Zürich
      • Festanstellung 100%

      • Merken
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      Kanadevia Inova

      Kanadevia Inova

      Machine Learning Engineer

      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.

      Arbeitsort: Zürich