<h2>Qualifications</h2> <ul> <li>Master’s (with 3-5 years of experience) or Ph.D. degree in Computer Science, Engineering, Statistics, Applied Mathematics, or a related field with a focus on machine learning, artificial intelligence or related field.</li> <li>Strong programming skills in languages such as Python, C++ , and proficiency in relevant libraries and frameworks for machine learning (PyTorch).</li> <li>Previous experience working with LLM is highly desired.</li> <li>Excellent problem-solving skills and the ability to work independently as well as collaboratively in multidisciplinary teams.</li> <li>Strong communication skills with the ability to effectively communicate technical concepts to non-technical stakeholders, including clinicians and healthcare professionals.</li> <li>Knowledge of MLOps or machine learning system design is optional but highly desired</li> </ul>

Software Engineering

Data Science

Europe

The HealthSage AI platform will offer a rich selection of AI models, tools, and applications, both crafted by HealthSage AI and contributed by the broader community. In our secure environment, you can explore, try, and customize these models, before integrating them into your existing workflows and IT systems using our APIs. By orchestrating multiple models and applications, HealthSage AI will help you to stay on top of the latest developments. We will make sure you always have access to state-of-the-art models and tools – leading to true clinical impact.

Amsterdam, Netherlands

HealthSage AI

ML Engineer

Venture capital fund, run by seasoned entrepreneurs, offering smart equity capital with hands-on support to European marketplace, platform and SaaS startups.

Opportunities at our Portfolio Companies

ML Engineer

Qualifications