Machine Learning Engineer

Posted Yesterday
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Zürich, CHE
In-Office
Mid level
Greentech • Energy • Industrial • Renewable Energy
The Role
Design, productionize, and operate end-to-end ML solutions and MLOps pipelines. Deploy, monitor, retrain, and optimize models in production; ensure reliability, security, data integrity, and governance. Collaborate with cross-functional teams and mentor junior colleagues while troubleshooting production issues and driving continuous improvement.
Summary Generated by Built In
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.

Skills Required

  • MSc in Computer Science or STEM with strong computer science focus; experience in agile software development environments.
  • Strong Python programming skills.
  • 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.
  • Experience with cloud platforms (preferably Azure).
  • Familiarity with Azure specifically (preferred).
  • Experience with containerisation technologies (Docker).
  • Experience with 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.
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The Company
3,500 Employees
Year Founded: 1933

What We Do

Kanadevia Inova is a global greentech leader specializing in Waste to Energy (WtE) and Renewable Gas (RG). It delivers turnkey systems that transform waste into valuable resources through cutting-edge technology, focusing on the energy transition and circular economy to create a future free of wasted waste.

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