AI/ML Engineer (m/f/d)
Posted on May 22, 2026 (about 2 hours ago)
AI/ML Engineer
At Recare, we build AI that gives healthcare professionals their time back. As an AI/ML Engineer you will help design, implement and deploy machine learning systems that improve care workflows and patient outcomes. This role is remote-first and collaborates closely with product, design and engineering teams to turn ideas into reliable, production-ready features.
Responsibilities
- Research, prototype and productionize machine learning models for clinical and operational use cases.
- Design and build scalable data pipelines and ML infrastructure.
- Collaborate with cross-functional teams to integrate models into product features and monitor performance in production.
- Ensure model reliability, privacy, and compliance with healthcare requirements.
Qualifications
- Strong experience with machine learning (deep learning, NLP) and model deployment.
- Proficiency with Python, ML frameworks (e.g. PyTorch, TensorFlow) and cloud or container platforms.
- Practical experience building data pipelines and ML infrastructure.
- Interest in healthcare impact, product-oriented mindset and strong collaboration skills.
Team & Benefits
Recare is a remote-first company that values clarity, ownership and trust. Benefits highlighted on the careers page include:
- Work remotely or from the Berlin office; up to 182 days/year working abroad.
- MacBook Pro and your choice of hardware, plus modern collaboration tools.
- Dedicated learning budget and development paths.
- Monthly €50 Edenred card, your birthday off, regular team events and a strong team culture.
How to apply
Please submit your application via Recare's website for the open role. The application form on the website ensures your materials reach the right team and includes questions that help Recare understand your profile and experience.
Recruitment process
- Apply: Submit your CV and materials through the job listing on the careers page.
- Get to know each other: You will meet several people from the team (usually digitally) including your potential manager to assess fit and working style.
- Work sample & decision: For some roles, you may be asked to complete a short task. The process is designed to be fast and transparent with clear feedback.