Machine Learning Engineer

vor 4 Wochen

Berlin, Berlin, Deutschland Fraunhofer-Gesellschaft Vollzeit
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team at the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI. As a key member of our Applied Machine Learning (AML) Group, you will play a crucial role in developing innovative solutions for AI, health, environment, and climate-related projects.

Key Responsibilities
  • Design and implement machine learning models using various frameworks and libraries
  • Develop and deploy AI-powered applications and systems
  • Collaborate with cross-functional teams to integrate ML solutions into existing projects
  • Conduct research and development in areas such as deep learning, natural language processing, and computer vision
  • Present research findings and results to internal and external stakeholders
Requirements
  • Master's degree in Computer Science, Mathematics, Physics, Electrical Engineering, or a related field
  • Excellent programming skills in languages such as Python, Java, or C++
  • Experience with machine learning frameworks like PyTorch, TensorFlow, or Keras
  • Strong understanding of software development principles and practices
  • Excellent communication and teamwork skills
What We Offer
  • Attractive salary package and benefits
  • Opportunities for professional growth and development
  • Collaborative and dynamic work environment
  • Flexible working hours and remote work options
  • Access to cutting-edge technology and resources
How to Apply

If you are a motivated and talented Machine Learning Engineer looking for a challenging role in a dynamic and innovative environment, please submit your application online. We look forward to reviewing your qualifications and experience.

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