TL;DR
Senior AI/ML Engineer (NLP, Computer Vision): Designing, developing, and deploying scalable AI/ML solutions for healthcare and operational use cases with an accent on owning end-to-end ML pipelines, data ingestion, preprocessing, and model reliability in production. Focus on building and optimizing automation systems, conversational AI, and computer vision initiatives.
Company
Axonlab is a pan-European In vitro Diagnostics and medical IT company, developing highly innovative solutions for employees and customers in hospitals, medical practices, laboratories, and research centers.
What you will do
- Design, develop, and deploy scalable AI/ML solutions for real-world healthcare and operational use cases.
- Own end-to-end ML pipelines: data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
- Develop and optimize automation systems, including intelligent customer email order processing.
- Build and improve conversational AI and voice agents for sales and support teams.
- Contribute to computer vision initiatives, including automation projects in logistics.
- Ensure performance, scalability, monitoring, and reliability of models in production.
Requirements
- 5+ years of experience in AI/ML engineering with proven delivery of production-grade systems.
- Strong hands-on experience building and deploying ML systems in real environments.
- Deep understanding of ML algorithms, NLP and/or computer vision models.
- Strong Python skills and proficiency with major ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience designing scalable, maintainable ML architectures.
- Ability to take ownership and deliver independently.
- English: Fluent required.
Culture & Benefits
- 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.
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