Machine Learning Engineer (AI)

Location: Hardturmstrasse 127, 8005 Zürich, Switzerland

Company

hirify.global develops waste-to-X technologies that transform waste into energy, heat, hydrogen, fertilizer, and other valuable outputs.

What you will do

• Industrialise and operate AI/ML solutions by turning prototypes into scalable, production-ready applications.
• Design, implement, and maintain end-to-end MLOps pipelines for 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 throughout the machine learning lifecycle.
• Monitor and optimise model performance, troubleshoot production issues, support continuous improvement, and mentor less experienced colleagues.

Requirements

• 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 and practical experience with PyTorch, TensorFlow, or Scikit-learn.
• Solid understanding of MLOps, including model deployment, versioning, monitoring, and production lifecycle management.
• Experience with cloud platforms, preferably Azure, as well as Docker, APIs, databases, and distributed systems.
• Knowledge of data engineering and data processing frameworks.

Nice to have

• Experience with industrial IoT, time-series data, computer vision, or Physics-AI solutions.

Culture & Benefits

• Work in a technology and innovation environment focused on sustainable waste infrastructure.
• Contribute to solutions that transform waste into energy, heat, hydrogen, fertilizer, and other outputs.
• Collaborate across data science, engineering, product, and business functions.