AI/ML Engineer

Axonlab is a pan-European In vitro Diagnostics and medical IT company with activities in Applied Science. The company respects country-specific cultures and has subsidiaries in Switzerland, Germany, Austria, Belgium, the Netherlands, Croatia, Czech Republic, Slovenia, and Poland. Founded in 1990, Axonlab has grown to over 300 employees across Europe. They are building a pan-European online medtech eCommerce platform connecting production and integration services with hospitals, medical practices, laboratories, and research centers.

• 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 focused on structured and efficient problem solving.
• 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 communication skills to convey complex findings to technical and non-technical stakeholders.
• Very good command of English; knowledge of German and French is a plus.

• 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.