Machine Learning Engineer - Health AI Diagnostics

Amsterdam | 32 - 40 hours

Hi! We’re Quin, and our mission is clear: to keep healthcare accessible and sustainable for everyone. With an exceptional team of Product, Design, Engineering, and Medical experts, we create innovative solutions that empower general practices and hospitals to manage patient inflow efficiently while offering cutting-edge digital care. Are you ready to take ownership of the “smart” in our smart solutions? Let’s shape the future of healthcare together!

As our Machine Learning Engineer:

You are on the hunt for an opportunity at the cutting edge of innovation in the field of Machine Learning and explainable AI, all while having an enormous positive impact on society.

You won't just contribute to building our AI engine; you'll also be an integral part of the smooth deployment, scalability, and maintenance of our machine learning solutions. By collaborating closely with medical experts and our dev/ops engineers, you'll bring substantial domain knowledge into vectorial representations and bridge the gap between model development and production.

You will:

• Design, develop and optimize machine learning algorithms for the healthcare domain, including LLM’s and Retrieval-Augmented Generation (RAG) models
  
  
• Partner closely with medical specialists to translate their expertise into our AI engine.
  
  
• Ensure seamless deployment, monitoring, and scalability of our ML models in production environments
  
  
• Enhance ML-Ops workflows, implementing CI/CD pipelines, automated testing and real-time diagnostics.
  
  
• Collaborate with our tech team to construct a resilient, scalable infrastructure for our ML solutions.
  
  
• Stay in the loop with the latest trends in AI/ML to continually push our boundaries.
  
  

If you are a Machine Learning Enthusiast and you?

• Hold a Bachelors/master’s in computer science, Artificial Intelligence, or a related field.
  
  
• Demonstrate hands-on experience with machine learning frameworks such as TensorFlow, PyTorch.
  
  
• Proficient in Python and have experience with cloud platforms like AWS, Google Cloud, or Azure.
  
  
• Possess a solid grasp of ML-Ops, including tools like Kubernetes, Docker, or similar.
  
  
• Show exceptional problem-solving skills and passion for continuous learning.

...then this job is right for you! 

What's in it for you?

Are you ready to help shape the future of healthcare with us? That same excitement drives our talented, international team, where collaboration and idea-sharing create a culture of daily learning from peers.

At Quin, you’ll accelerate your learning curve by working on groundbreaking machine learning innovations. Our career development program is designed to help you chart your ideal Quin journey and achieve your personal goals faster.

In return for your hard work, we offer a competitive gross salary based on your seniority, along with a hybrid work environment that values flexibility and work-life balance. Our vibrant HQ in Amsterdam might just become your favorite spot—whether it’s for a friendly match in the gaming room, a delicious meal prepared by our very own Bennasar, or joining one of our bootcamps. 

Let’s future-proof healthcare together!

Apply for this position now!