Part-Time AI Deep Learning Technician - Flexible Hours Visa

NextPartners; Bergen; On-site; NOK 117,000 - 160,000; Part time

Benefits offered by this job

Visa sponsorship

Flight tickets for international hires

Flexible working hours

Job summary

NextPartners seeks an AI Deep Learning Technician (Part-Time) in Bergen, Norway. You will develop and improve models, process data, and collaborate with cross-functional teams to meet project goals.

The ideal candidate holds a CS/AI degree and has hands-on experience with deep learning, Python, TensorFlow, and Keras. Independent work and team collaboration are essential, with flexibility to work on diverse AI projects.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.
• Strong understanding of deep learning concepts such as neural networks, CNNs, RNNs, etc.
• Proficient in programming languages such as Python, TensorFlow, Keras.
• Experience with data analysis tools and techniques.
• Excellent problem-solving skills.
• Ability to work independently as well as collaboratively in a team environment.

Responsibilities

• Utilize your knowledge of AI deep learning algorithms to develop and improve existing models
• Collaborate with cross-functional teams to gather requirements and implement solutions
• Conduct data analysis and pre-processing for training and testing models
• Optimize model performance through parameter tuning and feature engineering
• Communicate results and insights to stakeholders in a clear and concise manner

Skills

Deep learning fundamentals

Data analysis

Independent work

Team collaboration

Problem solving

Education

Bachelor's or Master's in CS/AI

Tools

Python

TensorFlow

Keras

Data analysis tools

Job description

NextPartners seeks an AI Deep Learning Technician (Part-Time) in Bergen, Norway. You will develop and improve models, process data, and collaborate with cross-functional teams to meet project goals.

The ideal candidate holds a CS/AI degree and has hands-on experience with deep learning, Python, TensorFlow, and Keras. Independent work and team collaboration are essential, with flexibility to work on diverse AI projects.