AI Lead 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, including ownership of complex, production-grade AI solutions.
• Strong hands-on background ideally gained in a top-tier tech company (FAANG-level or equivalent).
• Deep understanding of ML algorithms, NLP, and/or vision models.
• Proficiency in Python and major ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Proven ability to design and implement scalable, production-ready ML systems.
• Strong problem decomposition skills - ability to translate high-level concepts into deliverable workstreams.
• Experience leading or mentoring technical teams and driving engineering excellence.
• Ability to handle multiple initiatives simultaneously and deliver in a high-velocity environment.
• Excellent communication skills and strong ownership mindset.
• Very good command of English.

Responsibilities:

• Lead the design, development, and deployment of AI/ML solutions across multiple parallel initiatives.
• Break down complex technical problems into clear, actionable components and drive them to completion.
• Build and optimize automation systems (e.g., customer email order processing).
• Develop and refine conversational AI and voice agents for sales and support teams.
• Lead vision AI initiatives, including mid-term automation projects for logistics.
• Oversee and contribute hands-on to end-to-end ML pipelines: data ingestion, preprocessing, feature engineering, training, evaluation, and deployment.
• Provide technical leadership to the AI team.
• Ensure scalability, performance, and reliability of all AI models in production.
• Prioritize effectively in a fast-paced, startup-like environment with limited resources.
• Participate in regular brainstorming and innovation sessions, proposing new ideas and driving technical direction.

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;

Originally posted on Himalayas