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 reaching 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 challenge and meaningful impact, where you'll be designing and deploying machine learning models that directly contribute to healthcare innovation. You'll work with modern technologies including LLMs, various ML frameworks, and cloud platforms, while collaborating with cross-functional teams to integrate these solutions into production systems.
The position offers an attractive hybrid working model with 2 days remote work, and is available in several major German cities including Koblenz, Berlin, Nürnberg, and Neu-Ulm. CGM provides comprehensive benefits including professional development through their in-house academy, health-focused perks like an in-house canteen and fitness center, and family-friendly policies including on-site kindergarten at the Koblenz campus.
This is an excellent opportunity for a skilled ML engineer who wants to make a meaningful impact in healthcare technology while working with a company that values both professional growth and work-life balance. As CGM states, they're working "for a world where knowledge saves lives," making this role perfect for someone who wants to combine technical expertise with meaningful societal impact.
Responsibilities For Machine Learning Engineer
- Design, develop, and deploy machine learning models for core AI services with focus on RAG and AI Agents
- Work closely with data scientists, backend developers, and other 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
- Mobile work (2 days remote, 3 days onsite)
- Regular company events (summer parties, Christmas parties)
- In-house academy and external training opportunities
- In-house canteen with healthy food options
- Fully equipped fitness center with weekly courses
- Kindergarten on CGM campus (Koblenz)
- Corporate benefits
- Job bike option
- Company pension scheme
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