Machine Learning Engineer
Description For Machine Learning Engineer
CGM (CompuGroup Medical) is a leading global e-health company that's shaping the future of healthcare technology. With operations in 19 countries and products used in 60 countries worldwide, they're at the forefront of developing sustainable healthcare solutions. As a Machine Learning Engineer, you'll join a team of 8,700+ professionals working on cutting-edge AI services, focusing on RAG and AI Agents. The role offers a perfect blend of technical challenges and meaningful impact, as you'll be developing machine learning models that directly contribute to healthcare innovation. The position comes with a hybrid work arrangement, comprehensive benefits including health and wellness facilities, and strong professional development opportunities. The company's mission "for a world where knowledge saves lives" underlies all projects, making this an opportunity to combine technical expertise with meaningful impact in healthcare. The collaborative environment, coupled with CGM's strong market position and commitment to innovation, makes this an excellent opportunity for ML engineers looking to make a difference in healthcare technology.
Responsibilities For Machine Learning Engineer
- Design, develop, and deploy machine learning models for core AI services focusing on RAG and AI Agents
- Work closely with data scientists, backend developers, and stakeholders to integrate models
- Enhance and fine-tune models for performance, accuracy, and scalability
- Stay updated with latest advancements in machine learning
- Ensure robust testing, validation, and monitoring of machine learning models
Requirements For Machine Learning Engineer
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
- Significant experience in machine learning model development and deployment, including LLM and AI Agents
- Proficiency in machine learning frameworks (Langchain, TensorFlow, PyTorch, Scikit-learn) and Python
- Familiarity with cloud platforms (Azure, AWS, GCP) and containerization technologies (Docker, Kubernetes)
- Strong problem-solving skills and ability to work in a collaborative environment
Benefits For Machine Learning Engineer
- Flexible work arrangement (2 days remote, 3 days onsite)
- Regular company events (summer parties and Christmas parties)
- In-house academy and external training opportunities
- In-house canteen with healthy food options
- Fully equipped fitness center with weekly courses
- Kindergarten at CGM campus in Koblenz
- Corporate benefits
- Job bike option
- Company pension scheme
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