(Senior) Machine Learning Engineer (m/w/d)

We are the leading provider of software in the healthcare sector. With our vision ‘No one should suffer or die just because some medical information is missing’, we want to create a culture that makes a sustainable contribution to the future of our healthcare system. Our work serves the goal of improving healthcare by ensuring that the necessary information is available anytime and anywhere. 

Your contribution:  

• Design, develop, and deploy machine learning models for our AI platform with a focus on RAG and AI Agents.

• Collaborate with data scientists, backend developers, and other stakeholders to integrate models into our system.

• Optimize and fine-tune models for performance, accuracy, and scalability.

• Conduct research to stay updated with the latest advancements in machine learning and apply them to improve our products.

• Ensure robust testing, validation, and monitoring of machine learning models to maintain high-quality performance.

What you bring along:  

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

• Significant experience in machine learning model development and deployment, including LLM (Large Language Models) and AI Agents.

• Proficiency in machine learning frameworks and libraries (e.g., Langchain, TensorFlow, PyTorch, Scikit-learn) and strong programming skills in Python.

• Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and containerization technologies (e.g., Docker, Kubernetes).

• Strong problem-solving skills and ability to work in a collaborative environment.

What you can expect from us:  

• Mobile work: Work flexibly on the move two days a week and on site three days a week. 

• Attractive locations: In addition to fully equipped workplaces, regular events such as summer parties and Christmas parties await you at our locations. 

• Development: Our in-house academy and our portfolio of external co-operation partners will support you in your further development. 

• Health: Health is a valuable asset for us. Our in-house canteen offers a selection of tasty and healthy dishes every day and we welcome you to our fully equipped fitness centre for weekly courses (online & offline). 

• More is always possible: The kindergarten on our CGM campus in Koblenz helps our employees to organise their working day even more flexibly. We also offer corporate benefits, the option of a job bike, a company pension scheme and much more. 

Diversity is part of CGM! We look forward to receiving your application regardless of disability, gender, nationality, ethnic and social background, religion, age, sexual orientation and identity. 

Convinced? Apply online now with your detailed application documents (including salary expectations and earliest possible starting date).