Role overview
We are looking for a talented AI Engineer with strong technical expertise in AI concepts such as LLM’s, embeddings, overfitting and RAGs as well as the ability to apply them in practical work. Additionally, we value team members who communicate clearly, are eager to share their knowledge and who enjoys enabling colleagues to start working with AI on their own. If this sounds like you then you are invited to apply for this position in our AI Services team where we leverage AI to train healthcare professionals and lay people in handling time-critical medical emergencies. Most importantly your work will contribute to our company mission of helping save lives.
Responsibilities
- Translating business needs into actionable requirements for AI solutions
- Develop AI prototypes in collaboration with colleagues
- Deploy AI solutions into production within our technical environment
- Communicate the value of AI and data-driven approaches across the company
- Guide and support colleagues in using our AI services effectively
- Master’s degree in Data Science, Computer Science, Engineering, or similar
- Preferably a few years of relevant work experience outside academia
- A collaborative mindset and strong interpersonal skills
- Clear and professional English language skills in both writing and conversation
- Proficient in Python, MLOps, Prompting, RAG and Classic ML
- Strong coding skills and technical experience
- Hands-on experience with cloud-based AI development environments, such as Microsoft Azure and Databricks Knowledge of Agents, skills, and vibecoding
Benefits
- Interesting and meaningful work contributing to our mission
- Opportunities for personal and professional growth
- A great, diverse, inclusive, and international work environment
- Innovative and forward-thinking technology
- Competitive compensation and benefits package
- Flexible work arrangements, an extensive wellbeing program with social, cultural and sports activities and benefits such as discounted public transport, wardrobe with towel service, company cabins, and more.
Tags & focus areas
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