Machine Learning Engineer

Kanadevia Inova AG; Zürich; Vor Ort; CHF 120.000 - 160.000; Vollzeit

Zusammenfassung

Kanadevia Inova AG in Switzerland seeks a skilled ML Engineer to industrialise AI/ML solutions and build scalable, production-ready applications. You will design and operate end-to-end MLOps pipelines, from data training to deployment and monitoring, while collaborating closely with data scientists, engineers, product managers and business stakeholders to deliver impactful AI solutions.

You will ensure reliability, security, and governance across the ML lifecycle, monitor model performance,

Qualifikationen

• MSc in Computer Science or STEM with a strong CS focus.
• Strong Python programming skills with ML frameworks (PyTorch, TensorFlow or Scikit-learn).
• Solid understanding of MLOps: deployment, versioning, monitoring and lifecycle management.
• Experience with cloud platforms (Azure preferred), Docker, APIs, databases and distributed systems.

Aufgaben

• 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 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 across the ML lifecycle.
• Monitor and optimise model performance, troubleshoot production issues and mentor less experienced colleagues.

Jobbeschreibung

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.

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.