A well-funded medical device company is seeking a Deep-Learning Engineer to join our R D team. As
a researcher on the team, you will get a chance to work alongside some of the best minds in the field
and implement the latest Machine Learning and Computer Vision algorithms, in a multidisciplinary and
dynamic environment.
Responsibilities:
* Collaborate with a multi-disciplinary team to deliver an end-to-end product: from concept to validation and integration.
* Research, design, and implement Computer Vision, Machine Learning, and Deep Learning algorithms.
* Contribute to methodologies, best practices, and tools while fostering a collaborative environment.
* Convert algorithmic requirements into effective solutions.
* Leverage existing research and literature to develop top-tier solutions.
* Manage and process large datasets for optimal results.
Requirements: MSc in Computer Science or related fields (EE, Math, Physics, etc.); BSc with
outstanding demonstration of capabilities will be considered as well.
3+ years of hands-on experience with Computer Vision algorithms.
Strong background in Machine Learning and deep learning.
Experience with using LMM/VLM(Vision-Language) frameworks.
Proficiency in C ++ and Python.
Ability to initiate and lead Machine Learning projects end to end.
Experience with TensorFlow or PyTorch
Familiarity with IPP, OpenCV and similar libraries
Ability to work in a team environment and collaborate with a remote based team.
Experience with Linux - Advantage.
Experience in a global medical device company - Advantage.
Experience with Cuda Kernel programming - Advantage.
This position is open to all candidates.
