Remote Part-Time AI Deep Learning Assistant

Ecojob; Norway; Remote; NOK 137,000 - 185,000; Part time

Job summary

Ecojob is seeking a Junior AI Deep Learning Assistant to join our team on a part-time basis. You will help develop and implement deep learning models, conduct research on AI advances, and prepare data sets for training and testing.

You will collaborate with the team to create innovative solutions, maintain documentation of experiments, and assist in troubleshooting. This position offers flexible hours, remote consideration for exceptional candidates, and a monthly salary of 1500 USD.

Qualifications

• Bachelor's degree in Computer Science, Mathematics, or related field (or current student).
• Strong understanding of machine learning and deep learning.
• Experience with Python, Java, or C++.
• Experience with TensorFlow or PyTorch preferred.
• Strong problem-solving and creative thinking.
• Attention to detail and ability to work independently or in a team.

Responsibilities

• Assist in developing and implementing deep learning algorithms for various projects.
• Conduct research on latest developments in the field of AI and deep learning.
• Prepare and analyze data sets for training and testing of models.
• Collaborate with team members to develop innovative solutions for complex problems.
• Maintain documentation of code and experiments for future reference.
• Assist in troubleshooting and debugging issues with existing models.

Skills

Deep learning

Python

Java

C++

TensorFlow

PyTorch

Problem solving

Teamwork

Education

Bachelor's degree in CS/Math or related field

Tools

TensorFlow

PyTorch

Job description

Ecojob is seeking a Junior AI Deep Learning Assistant to join our team on a part-time basis. You will help develop and implement deep learning models, conduct research on AI advances, and prepare data sets for training and testing.

You will collaborate with the team to create innovative solutions, maintain documentation of experiments, and assist in troubleshooting. This position offers flexible hours, remote consideration for exceptional candidates, and a monthly salary of 1500 USD.