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;