AI/ML Engineer

Axonlab is a pan-European In vitro Diagnostics and medical IT company with activities in Applied Science. We act as consultants, investors, distributors, and personalized full-service providers – respecting every country’s own culture by actively establishing country-specific solutions. Headquartered in Baden-Dättwil, Switzerland, subsidiaries in 9 other countries such as Germany, Austria, Belgium, the Netherlands, Croatia, Czech Republic,Slovenia and Poland. Axonlab was founded 1990 and has since then grown into a company with more than 300 employees European-wide.

We’re building the most innovative and active pan-European online medtech eCommerce platform which will connect our production and integration services with hospitals, medical practices, laboratories, and research centers.

Requirements:

• 4+ years of professional experience in Data Science, Machine Learning, or AI-related roles, delivering data-driven solutions in business environments.
• Experience designing end-to-end AI solutions, including software, infrastructure, and hardware components.
• Solid understanding of networking concepts, API integrations, security, and system interoperability.
• Solid understanding of machine learning algorithms, data preprocessing, and model training workflows.
• Excellent proficiency in Python and common Data Science libraries and frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Knowledge of computer vision systems, image acquisition pipelines, and camera-based automation solutions.
• Experience with Azure cloud services, hybrid architectures, and on-premise deployments.
• Ability to evaluate, select, and manage hardware vendors and technology partners.
• Ability to design and implement end-to-end ML pipelines, including data ingestion, feature engineering, and deployment.
• Strong analytical skills with a focus on solving complex problems in a structured and efficient manner.
• Enthusiastic about exploring new challenges and delivering innovative solutions.
• Solid understanding of MLOps principles and model lifecycle management, including monitoring, retraining, and performance optimization.
• Strong analytical and problem-solving skills, with the ability to communicate complex findings clearly to both technical and non-technical stakeholders.
• Passion for innovation and continuous learning in the fields of AI, Machine Learning, and Data Science.
• Very good command of English; knowledge of German and French is a plus.

Responsibilities:

• Design and own end-to-end AI solution architectures, covering data pipelines, AI services, integrations, and infrastructure requirements.
• Define camera setups, imaging requirements, and hardware specifications for computer vision use cases.
• Coordinate installations and integrations with internal teams.
• Collaborate with Digital, IT Infrastructure, Software Engineering, and Master Data teams to ensure scalable and maintainable solutions.
• Develop and deploy AI models on edge devices where low latency or offline processing is required.
• Create and optimize conversational AI for natural language interactions and improved user experiences.
• Continuously explore and incorporate emerging AI/ML technologies to enhance the efficiency and scalability of solutions.
• Monitor model performance and conduct regular evaluations to maintain accuracy and reliability.
• Contribute to bi-weekly brainstorming and team innovation sessions to propose new ideas and solutions.

What we offer:

• Comfortable environment, challenging tasks and a long-term interesting project;
• Covered 20 days of vacation and 10 days of sick leave;
• Health insurance with premium-level clinics;
• Working with top notch equipment;
• Bookkeeping by a professional accountant;
• Help and support from our caring HR-team;
• Regular business trips to Switzerland.