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 e Commerce 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, Num Py, Scikit‑learn, Tensor Flow, or Py Torch.

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. #J-18808-Ljbffr