Senior AI Engineer

Axonlab is a pan-European In vitro Diagnostics and medical IT company with activities in Applied Science. As consultants, investors, distributors, and personalized full-service providers, Axonlab respects the culture of each country by actively developing country-specific customer-related solutions. Headquartered in Baden-Dättwil, Switzerland, subsidiaries in 9 other countries such as Germany, Austria, Belgium, the Netherlands, Poland, Croatia, Czech Republic, Slovakia and Slovenia. Axonlab was founded 1990 and has since then grown into a company with more than 450 employees European-wide.

As a business unit within Axonlab, we develop highly innovative solutions for our employees and our customers (hospitals, medical practices, laboratories, and research centers) — always with the aim of offering the most efficient, effective, and innovative solutions.

Requirements:

• 5+ years of experience in AI/ML engineering with proven delivery of production-grade systems.
• Strong hands-on experience building and deploying ML systems in real environments.
• Deep understanding of ML algorithms, NLP and/or computer vision models.
• Strong Python skills and proficiency with major ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience designing scalable, maintainable ML architectures.
• Strong problem-solving and decomposition skills.
• Experience working in fast-paced, multi-project environments.
• Ability to take ownership and deliver independently.
• Strong communication skills and fluent English.

Responsibilities:

• Design, develop, and deploy scalable AI/ML solutions for real-world healthcare and operational use cases.
• Own end-to-end ML pipelines: data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
• Develop and optimize automation systems (e.g., intelligent customer email order processing).
• Build and improve conversational AI and voice agents for sales and support teams.
• Contribute to computer vision initiatives, including automation projects in logistics.
• Translate complex business requirements into well-structured technical solutions.
• Ensure performance, scalability, monitoring, and reliability of models in production.
• Collaborate cross-functionally with product, business, and engineering stakeholders.
• Contribute to technical discussions, innovation sessions, and continuous improvement initiatives.

What we offer:

• Comfortable environment, challenging tasks and a long-term interesting project;
• Covered 20 days of vacation;
• Working with top notch equipment;
• Bookkeeping by a professional accountant;
• Help and support from our caring HR-team;