Machine Learning Engineer

vor 11 Stunden


Karlsruhe, Baden-Württemberg, Deutschland Cinemo GmbH Vollzeit
About the Role

We are seeking a talented Machine Learning Engineer - Computer Vision Specialist to join our team at Cinemo GmbH.

Job Summary

This is an exciting opportunity for a highly motivated and skilled individual to work on cutting-edge computer vision projects, collaborating with senior AI/ML engineers to design and evaluate machine learning models.

Key Responsibilities:
  • Support the design, training, and evaluation of computer vision and video ML models, as well as underlying software architecture.
  • Collect, analyze, prepare, and structure datasets for training, validation, and testing state-of-the-art computer vision ML models and technologies.
  • Process image/video data, applying techniques for pre-processing, normalization, and data augmentation to improve model robustness.
Requirements:
  • Bachelor's or Master's degree in Computer Science, Data Science, or equivalent field.
  • First-hand experience with computer vision (e.g., face detection, object detection, image classification, scene segmentation, or action recognition).
  • Good knowledge of machine learning, deep learning, and transformer architectures.
  • Practical experience in training, fine-tuning, validating, and evaluating ML models.
  • Proficiency in Python, C/C++, OpenCV, PyTorch, TensorFlow, and Keras.
What We Offer:

Cinemo GmbH offers a competitive salary of approximately €55,000 - €70,000 per annum, depending on experience, as well as a comprehensive benefits package, including health insurance, retirement plan, and paid time off.

As a global leader in infotainment solutions, we provide opportunities for professional growth, innovation, and collaboration with top experts in the industry.

In this role, you will contribute to the development of cutting-edge computer vision technologies, working closely with our senior AI/ML engineers to push the boundaries of what is possible.

Join our dynamic team and take advantage of this exceptional opportunity to advance your career and make a meaningful impact in the world of computer vision and machine learning.



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