Machine Learning Engineer (w/m/d)

About the Position

Machine Learning Engineer (w/m/d)

WetterOnline GmbH is looking for a Machine Learning Engineer to join our team in Bornheim, Nordrhein-Westfalen, Deutschland. If you are passionate about using ML techniques for weather data analysis and visualization, this is the perfect opportunity for you.

Responsibilities

• Develop and implement ML models for weather data analysis and visualization.
• Collaborate with cross-functional teams to enhance the quality of radar and satellite data visualization.
• Utilize Python, PyTorch, NumPy, and OpenCV for model development and data processing.
• Contribute to projects that leverage machine learning for object detection, image generation, and segmentation.

Requirements

• Successful completion of a degree in Computer Science, Physics, Mathematics, or a related field.
• Proficiency in Python and experience with large-scale data processing.
• Experience in designing and training ML models, particularly in the field of Computer Vision.
• Understanding of physical phenomena and interest in data-driven modeling.
• Basic knowledge of C++ and experience in High-Performance Computing is a plus.

Development Environment

• Operating System: Ubuntu Linux with a custom build system.
• Development Tools: Jupyter Notebook/JupyterLab, VS Code.
• Technologies/Frameworks: Python, PyTorch, NumPy, OpenCV, C++, OpenMP.
• Version Control: Git/GitLab.

We Offer

• Interdisciplinary Collaboration: Engage in projects across various departments and work closely with colleagues from Development, Product, Marketing, and more.
• Innovation and Autonomy: Opportunity to introduce new ideas and actively shape the use of modern technologies.
• Flexibility and Work-Life Balance: Choose between office, remote, or hybrid work arrangements to fit your lifestyle and needs.

About the Company

At WetterOnline GmbH, we employ around 160 staff worldwide to provide accurate weather forecasts and maintain a positive work environment. Our team is dedicated to leveraging machine learning for precise weather data analysis and visualization.

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