Part-Time AI DL Research Assistant - Flexible Hours

UrbanForm Developments; Kolding; On-site; DKK 97,000 - 157,000; Part time

Benefits offered by this job

Accommodation options

Visa sponsorship

Job summary

UrbanForm Developments in Kolding seeks an AI Deep Learning Research Assistant for a part-time role. You will assist in developing and implementing AI deep learning algorithms across projects, with opportunities to explore cutting-edge technologies and contribute to research.

Requirements include a Bachelor's degree in CS/Math and knowledge of ML concepts. Proficiency in Python, Java, or C++ and familiarity with frameworks like TensorFlow or PyTorch is preferred.

Qualifications

• Bachelor's degree in Computer Science, Mathematics, or related field.
• Strong understanding of machine learning concepts and algorithms.
• Familiarity with programming languages such as Python, Java or C++.
• Excellent analytical skills and attention to detail.
• Ability to work independently as well as in a team environment.
• Flexibility to work part-time hours with occasional weekends.

Responsibilities

• Assist in designing, developing and implementing AI deep learning algorithms
• Conduct research on current industry trends and advancements in AI technology
• Collaborate with team members to brainstorm ideas and solve complex problems
• Analyze data sets and provide insights for improving algorithm performance
• Document research findings and present them to the team

Skills

Python

Machine learning

Analytical skills

Teamwork

Education

Bachelor's degree in CS/Math

Tools

TensorFlow

PyTorch

Tableau

Power BI

Job description

UrbanForm Developments in Kolding seeks an AI Deep Learning Research Assistant for a part-time role. You will assist in developing and implementing AI deep learning algorithms across projects, with opportunities to explore cutting-edge technologies and contribute to research.

Requirements include a Bachelor's degree in CS/Math and knowledge of ML concepts. Proficiency in Python, Java, or C++ and familiarity with frameworks like TensorFlow or PyTorch is preferred.