Part-Time AI Deep Learning Specialist

Woopel; Denmark; On-site; DKK 344,000 - 482,000; Part time

Benefits offered by this job

Accommodation provided

Job summary

Woopel in Randers, Denmark seeks an AI Deep Learning Specialist on a part-time basis. You will develop and implement advanced algorithms to solve complex data problems, research new architectures, and optimize existing models. Proficiency in Python or Java and experience with TensorFlow or Keras are required.

You will work independently with strong problem-solving skills. The role offers hands-on AI exposure in a dynamic team and includes accommodation for non-local applicants with valid

Qualifications

• Experience with AI and deep learning techniques.
• Proficiency in Python or Java.
• Familiarity with TensorFlow or Keras.
• Strong problem-solving and independence.

Responsibilities

• Research and design new deep learning architectures.
• Implement and test algorithms and models.
• Optimize existing models.
• Collaborate with team as needed.

Skills

Python

Java

Deep learning

Problem solving

Independent work

Tools

TensorFlow

Keras

Job description

Location Randers Denmark We are in need of an AI Deep Learning Specialist to join our team on a part-time basis in Randers Denmark As an expert in AI and deep learning techniques you will be responsible for developing and implementing cutting-edge algorithms and models to solve complex data problems Your tasks will include researching designing and testing new deep learning architectures as well as optimizing existing models Along with a strong background in AI and deep learning candidates should have experience with programming languages such as Python or Java and familiarity with tools like TensorFlow or Keras This role also requires excellent problem-solving skills and the ability to work independently

• Accommodation can be provided for non-local candidates with a valid biometric passport

This is a great opportunity for anyone looking to gain hands‑on experience in the exciting field of AI deep learning while balancing other commitments