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Machine Learning Engineer

Leading e-health company operating in 19 countries with over 8,700 employees, providing software solutions for healthcare.
56 Koblenz, GermanyBerlin, Germany88436 Eberhardzell-Oberessendorf, Germany
Machine Learning
Mid-Level Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
Healthcare · AI

Description For Machine Learning Engineer

CGM (CompuGroup Medical) is a leading global e-health company operating in 19 countries with over 8,700 employees. As a Machine Learning Engineer, you'll be at the forefront of developing and deploying cutting-edge AI solutions for healthcare software. The role focuses on working with RAG and AI Agents, requiring expertise in modern ML frameworks and cloud technologies. You'll collaborate with cross-functional teams to integrate ML models into production systems while ensuring high performance and scalability.

The position offers a balanced hybrid work arrangement with 2 days remote and 3 days onsite, providing flexibility while maintaining team collaboration. CGM's commitment to employee well-being is evident through comprehensive benefits including an in-house canteen, fitness center, and professional development opportunities through their academy.

The company's mission of "creating a world where knowledge saves lives" offers a meaningful purpose to your work. You'll be part of a team that directly impacts healthcare technology advancement, working with modern tools and technologies including Python, Kubernetes, and various ML frameworks. The role provides excellent growth opportunities within a stable, established company that continues to innovate in the healthcare sector.

Working at CGM means joining a diverse, inclusive environment with strong support for work-life balance, including family-friendly policies such as on-site kindergarten at the Koblenz campus. The company's global presence and continuous growth provide ample opportunities for career advancement and exposure to international projects in the healthcare technology sector.

Last updated 10 hours ago

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

Python
Kubernetes
  • 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

Medical Insurance
Education Budget
  • 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 in Koblenz
  • Corporate benefits
  • Job bike option
  • Company pension scheme

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