Part-Time AI Deep Learning Engineer – Image & NLP

PPOAR

Odense

On-site

DKK 76,000 - 102,000

Part time

14 days+
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Job summary

PPOAR in Odense, Denmark, is seeking an AI Deep Learning Specialist to join our team on a part-time basis. You will design and implement deep learning models for various applications, collaborating with experts to collect data and preprocess it.

We value a strong academic background in CS/AI, 2+ years of hands-on DL experience with TensorFlow or PyTorch, Python or C++, and fluency in English. Danish is a plus. You will optimize models and present results to stakeholders.

Qualifications

  • Bachelor's or Master's degree in CS, AI or related field.
  • At least 2 years of hands-on DL model development (TensorFlow or PyTorch).
  • Strong understanding of neural networks, ML algorithms, and statistics.
  • Proficient in Python or C++.
  • Experience with large datasets and data preprocessing techniques.
  • Excellent problem-solving and ability to work independently.
  • Fluent in English; Danish is a plus.

Responsibilities

  • Design and develop deep learning models for image recognition, NLP and other AI applications.
  • Collaborate with cross-functional teams to collect data, preprocess and analyze.
  • Optimize models for performance, accuracy and efficiency.
  • Stay updated with the latest DL advancements and apply them to products.
  • Present findings and results to internal stakeholders and clients.

Skills

Python
C++
Deep learning
TensorFlow
PyTorch
Neural networks
Data preprocessing
Problem solving
English fluency

Education

Bachelor's or Master's degree in CS/AI or related field

Tools

TensorFlow
PyTorch

Job description

PPOAR in Odense, Denmark, is seeking an AI Deep Learning Specialist to join our team on a part-time basis. You will design and implement deep learning models for various applications, collaborating with experts to collect data and preprocess it.

We value a strong academic background in CS/AI, 2+ years of hands-on DL experience with TensorFlow or PyTorch, Python or C++, and fluency in English. Danish is a plus. You will optimize models and present results to stakeholders.

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