Braga: AI Deep Learning Research Assistant

GulfDesign UAE; Braga; Presencial; EUR 9300 - 13 000; Tempo integral

Resumo da oferta

GulfDesign UAE is seeking an AI Deep Learning Research Assistant to join our Braga, Portugal team. The role focuses on researching and implementing cutting-edge deep learning algorithms, with experiments that advance model performance.

You will collaborate with colleagues to design studies, collect data, and interpret results. The ideal candidate holds a Bachelor's in a related field, has hands-on experience with TensorFlow or PyTorch, and is proficient in Python (and possibly Java or C++).

Qualificações

• Bachelor's degree in Computer Science, Mathematics or a related field.
• Strong knowledge of machine learning techniques and algorithms.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Proficient in programming languages such as Python, Java or C++.
• Excellent problem-solving skills.
• Ability to work independently and in a team environment.

Responsabilidades

• Conduct research on deep learning techniques and methodologies.
• Develop and implement deep learning algorithms and models.
• Collaborate with team members to design experiments and collect data.
• Analyze data and present findings to the team.
• Continuously improve existing models through experimentation and optimization.
• Stay up-to-date with the latest developments in the field of AI deep learning.

Conhecimentos

Machine learning knowledge

Problem-solving

Teamwork

Formação académica

Bachelor's degree in Computer Science/Mathematics or related field

Master's or PhD in CS/Math or related field

Ferramentas

Python

Java

C++

TensorFlow

PyTorch

Descrição da oferta de emprego

GulfDesign UAE is seeking an AI Deep Learning Research Assistant to join our Braga, Portugal team. The role focuses on researching and implementing cutting-edge deep learning algorithms, with experiments that advance model performance.

You will collaborate with colleagues to design studies, collect data, and interpret results. The ideal candidate holds a Bachelor's in a related field, has hands-on experience with TensorFlow or PyTorch, and is proficient in Python (and possibly Java or C++).