Contribute to building a new deep learning project from scratch, with real impact on production systems.**
Work on end-to-end model development, including problem formulation, data understanding, model design, training, evaluation, optimization, and deployment.**
Develop and train state-of-the-art deep learning models for computer vision tasks.**
Explore and define the best technical approach in an open, research-driven environment, where solutions are not predefined.**
Tackle real-world challenges where model performance is critical and directly impacts product capabilities.
Requirements
M.Sc. in Computer Science, Electrical Engineering, or Software Engineering (Ph.D. is an advantage).
3+ years of hands-on experience in end-to-end deep learning model development and training.
Experience working with Transformer-based models.
Strong programming skills in Python and C++.
Strong understanding of model behavior, training dynamics, and performance optimization.
Ability to tackle complex challenges with strong problem-solving skills and a deep-dive approach.