Machine Learning Engineer

Kanadevia Inova; Zürich; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Kanadevia Inova is hiring a role focused on industrialising AI/ML solutions, turning prototypes into scalable production systems in a Swiss context. You will design and maintain end-to-end MLOps pipelines, collaborating with data scientists, engineers, and product teams to deliver robust AI capabilities.

You will ensure model reliability, security and governance across the lifecycle, monitor performance, and mentor junior colleagues while leveraging Azure, Docker, and cloud-native tools.

Qualifikationen

• MSc in CS or STEM with strong CS focus and agile experience.
• Strong Python skills and ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Solid MLOps knowledge: deployment, versioning, monitoring, lifecycle.
• Experience with Azure, Docker, APIs, databases, and distributed systems.

Aufgaben

• Industrialise and operate AI/ML solutions from prototypes to production.
• Design and maintain end-to-end MLOps pipelines for training to retraining.
• Collaborate with data scientists, engineers, PMs and stakeholders to deliver AI solutions.
• Ensure reliability, security, data integrity, governance across ML lifecycle.
• Monitor model performance and mentor junior colleagues.

Kenntnisse

Python

MLOps

ML frameworks

Agile dev

Data processing

Ausbildung

MSc in CS

STEM background

Tools

Azure

Docker

APIs

Databases

Distributed systems

Jobbeschreibung

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.

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.