Globalbit in collaboration with a start-up company dealing in the field of neuroscience and pharmaceuticals which is growing a lot with established projects for the coming years is looking to expand the data science team. We are looking for a senior data Science specializing in algorithms in the field of computer vision and image processing.
Company:
Genetika+
Company:
Genetika+
Requirements:
- Master's degree in engineering required (software, computers, mathematics, physics, etc.) - 5+ years of experience in the development and production of computer vision algorithms and deep learning algorithms. - High proficiency in scientific programming languages such as Python. Especially with deep learning libraries. - Knowledgeable with neural networks model architecture, distributed computing, cloud native services and Agile software development practices.
We are looking for a creative vision in you, the ability to lead tasks independently and also to be an active and dynamic team member with exceptional interpersonal communication. This is a great opportunity to join us in a company that has a very strong influence on the medical era with a strong and well-established technological breakthrough!
- Master's degree in engineering required (software, computers, mathematics, physics, etc.) - 5+ years of experience in the development and production of computer vision algorithms and deep learning algorithms. - High proficiency in scientific programming languages such as Python. Especially with deep learning libraries. - Knowledgeable with neural networks model architecture, distributed computing, cloud native services and Agile software development practices.
We are looking for a creative vision in you, the ability to lead tasks independently and also to be an active and dynamic team member with exceptional interpersonal communication. This is a great opportunity to join us in a company that has a very strong influence on the medical era with a strong and well-established technological breakthrough!
This position is open to all candidates.
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