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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, Germany90 Nuremberg, 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 that's shaping the future of healthcare software solutions. With operations in 19 countries and a workforce exceeding 8,700 professionals, they're at the forefront of digital healthcare innovation. The Machine Learning Engineer role offers an exciting opportunity to work on cutting-edge AI services, focusing on RAG and AI Agents implementation. The position combines technical excellence with healthcare impact, allowing engineers to contribute to solutions that directly improve healthcare delivery. The company offers a modern hybrid working model, comprehensive benefits, and a strong focus on professional development. Located in various German tech hubs, the role provides the perfect blend of technical challenge and meaningful impact in healthcare technology. The company's commitment to diversity and inclusion, coupled with their mission of "creating a world where knowledge saves lives," makes this an attractive opportunity for ML engineers looking to make a difference in healthcare technology.

Last updated 11 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
  • 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
  • Flexible work arrangement with 2 days remote, 3 days onsite
  • Regular company events including summer 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 on CGM campus in Koblenz
  • Corporate benefits
  • Job bike option
  • Company pension scheme

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