Machine Learning Engineer

Posted 5 Days Ago
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Zürich, CHE
In-Office
Entry level
Greentech • Energy • Industrial • Renewable Energy
The Role
Industrialize and operate production AI/ML solutions by building end-to-end MLOps pipelines for training, deployment, monitoring, retraining, and governance. Collaborate with data, software, product, and business teams to deliver reliable solutions. Troubleshoot and optimize model performance, ensure security and compliance, and mentor less experienced colleagues.
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 a STEM field with a strong computer science focus
  • Experience working in agile software development environments
  • Strong Python programming skills
  • Hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn
  • Understanding of MLOps practices, including model deployment, versioning, monitoring, and production lifecycle management
  • Experience with cloud platforms, preferably Azure
  • Experience with containerization technologies such as 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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