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Senior Machine Learning Engineer

vor 2 Monaten


Munich, Bayern, Deutschland ZEISS Group Vollzeit

We are seeking a highly motivated and result-oriented Machine Learning Scientist to join our AI and Machine Learning R&D team in Munich. In this role, you will be responsible for developing state-of-the-art machine learning algorithms and applications for various medical fields, including ophthalmology, laser vision correction, and microsurgery.

Your Key Responsibilities

  • Develop and implement machine learning algorithms and data mining methods for medical applications, primarily using text data and secondarily using structured data.
  • Drive innovation and generate intellectual properties to advance our AI-based medical software.
  • Provide technical expertise and guidance to support defining the requirements of cloud-based or device-based ML algorithms.
  • Establish and review quality management system documents for approving ML applications.
  • Review state-of-the-art AI applications from third-party providers, analyze, and prepare them for productive deployment.

Your Ideal Profile

  • PhD in machine learning, data science, informatics, or a related field.
  • 3 years of experience working as a data scientist.
  • Experience in natural language processing with classic NLP approaches as well as advanced Large Language Models.
  • Deep knowledge of shallow and deep machine learning algorithms.
  • Experience in using machine learning frameworks and tools, such as TensorFlow and PyTorch.
  • Proficiency in using Python programming language.
  • Hands-on experience with ML cloud providers, preferably with Microsoft Azure ML service.
  • Good knowledge of statistical analysis and statistical pattern recognition with structured data.
  • Ability to collaborate productively with a wide range of stakeholders.
  • Fluency in English.

Nice to Have

  • Experience in computer vision and ML algorithm development for images.
  • Experience working in a regulated environment, such as medical software development.
  • Extensive knowledge of Microsoft Azure platform and its workspaces.
  • Experience with other programming languages, such as C++.