Senior AI Engineer
Role details
Job location
Tech stack
Job description
We're looking for a Senior AI Engineer who is passionate about improving healthcare through cutting-edge technology. In this role, you will contribute hands-on to the design, development, and deployment of advanced ML and NLP technologies powering Patient Finder. You'll work on impactful projects such as Generative AI, Named Entity Recognition/Linking (NER/NEL), multilingual NLP, and continuous learning on complex healthcare datasets. This is a unique opportunity to define the future of AI in healthcare-focusing on deep technical contributions and end-to-end ownership of ML solutions., * Design, build, and maintain robust, scalable ML and NLP solutions for production environments.
- Contribute directly to the codebase, designing and implementing robust, scalable AI solutions for production environments.
- Collaborate with other development teams to ensure seamless integration of AI components with our search engine and data warehouse.
- Apply best practices in software engineering, testing, observability, and CI/CD for ML systems.
- Support the internationalization of NLP components across multiple languages.
- Work closely with the Product Owner and engineering teams to translate requirements into high-quality ML deliverables.
- Research and apply state-of-the-art NLP and ML methodologies.
- Share expertise with peers, contribute to knowledge-sharing sessions, and mentor junior engineers informally
Requirements
Do you have experience in Python?, * 6 years of industry experience in AI/NLP, with a strong track record of hands-on software engineering and delivering production-grade solutions.
- Proficiency in Python for ML/NLP tasks; other languages (e.g., Go, Rust, Java) are a plus.
- Strong software engineering fundamentals and experience integrating ML systems into production environments.
- Expertise in supervised and unsupervised learning, deep learning, and NLP.
- Ability to communicate technical concepts clearly to cross-functional teams.
- Experience with production-grade ML/NLP deployments.
- Strategic thinking around data science product planning under uncertainty.
- Holistic understanding of ML pipelines within larger systems.
- Strong problem-solving and critical thinking skills.
- Ability to read and implement ideas from scientific papers.
- Excellent English communication skills (written and verbal).
Nice to Have
- Experience in healthcare, life sciences, clinical trials, or pharmaceutical data.
- Based in the Netherlands, to occasionally join in-person team and company activities.
