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

<p><span><span>We are the leading provider of software in the healthcare sector. With our vision</span></span><b><span> ‘No one should suffer or die just because some medical information is missing</span><span>’</span></b><span><span>,</span><span> 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.</span></span><span> </span></p><p><span> </span></p><p><b><span>Your</span><span> </span><span>contribution</span><span>: </span></b><span> </span></p><ul><li><p>Design, develop, and deploy machine learning models for our AI platform with a focus on RAG and AI Agents.</p></li><li><p>Collaborate with data scientists, backend developers, and other stakeholders to integrate models into our system.</p></li><li></li><li><p>Optimize and fine-tune models for performance, accuracy, and scalability.</p></li><li><p>Conduct research to stay updated with the latest advancements in machine learning and apply them to improve our products.</p></li><li><p>Ensure robust testing, validation, and monitoring of machine learning models to maintain high-quality performance.</p></li></ul><p><span> </span></p><p><b><span>What</span><span> </span><span>you</span><span> bring </span><span>along</span><span>: </span></b><span> </span></p><ul><li><p>Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.</p></li><li><p>Significant experience in machine learning model development and deployment, including LLM (Large Language Models) and AI Agents.</p></li><li><p>Proficiency in machine learning frameworks and libraries (e.g., Langchain, TensorFlow, PyTorch, Scikit-learn) and strong programming skills in Python.</p></li><li><p>Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and containerization technologies (e.g., Docker, Kubernetes).</p></li><li><p>Strong problem-solving skills and ability to work in a collaborative environment.</p></li></ul><p><span> </span></p><p><span> </span></p><p><b><span>What you can expect from us</span><span>: </span></b><span> </span></p><ul><li><p><b><span>Mobile work</span></b><span><span>: Work flexibly on the move two days a week and on site three days a week.</span></span><span> </span></p></li><li><p><b><span>Attractive locations: </span></b><span><span>In addition to fully equipped workplaces, regular events such as summer parties and Christmas parties await you at our locations.</span></span><span> </span></p></li><li><p><b><span>Development: </span></b><span><span>Our in-house academy and our portfolio of external co-operation partners will support you in your further development.</span></span><span> </span></p></li><li><p><b><span>Health: </span></b><span><span>Health is </span><span>a valuable asset</span><span> 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 </span><span>centre</span><span> for weekly courses (online &amp; offline).</span></span><span> </span></p></li><li><p><b><span>More is always possible</span></b><span><span>: The kindergarten on our CGM campus in Koblenz helps our employees to </span><span>organise</span><span> their working day even more flexibly. We also offer corporate benefits, the option of a job bike, a company pension scheme and much more.</span></span><span> </span></p></li></ul><p><span> </span></p><p><b><span>Diversity is part of CGM! </span></b><span><span>We look forward to receiving your application regardless of disability, gender, nationality, ethnic and social background, religion, age, sexual </span><span>orientation</span><span> and identity.</span></span><span> </span></p><p><span> </span></p><p><b><span>Convinced? </span></b><span><span>Apply online now with your detailed application documents (including salary expectations and earliest possible starting date).</span></span><span> </span></p>