Machine Learning Engineer
# Machine Learning Engineer **Kanadevia Inova AG** · 8005 Zürich, ZH · `On-site` 🕒 **Статус:** *Опубликовано: 6 дней назад* · *Источник: Indeed* --- ### About the Role 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.
Наблюдалась 2026-09-29, впервые 2026-09-23, найдена на 2 площадках, источник — Indeed.