Part-Time AI Deep Learning Engineer: Build Models

Event Staffing

Vejle

On-site

DKK 105,000 - 126,000

Part time

14 days+
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Benefits offered by this job

Visa sponsorship

Job summary

Event Staffing, a fast-growing tech company in Vejle, seeks an experienced AI Deep Learning Engineer for a part-time role. You will design, develop, and implement deep learning models for image, language, and other tasks, collaborating with cross-functional teams.

The ideal candidate has a Master/PhD-like background in AI, 2+ years in DL, strong Python/Java/C++, and experience with TensorFlow, PyTorch or Keras. Visa sponsorship is available if needed.

Qualifications

  • Bachelor's or Master's degree in CS/AI or related field.
  • 2+ years of experience in developing deep learning models using TensorFlow PyTorch or Keras.
  • Strong understanding of machine learning concepts and algorithms.
  • Proficiency in programming languages such as Python, Java, or C++.

Responsibilities

  • Researching and implementing state-of-the-art deep learning algorithms for various applications.
  • Designing and training deep neural networks for image recognition, natural language processing and other tasks.
  • Analyzing data to identify patterns and trends.
  • Collaborating with cross-functional teams to integrate deep learning solutions into existing systems.
  • Optimizing models for performance and scalability.

Skills

Deep learning
TensorFlow
PyTorch
Keras
Python
Java
C++
Data preprocessing
Team collaboration
Problem solving

Education

Bachelor's or Master's in Computer Science / Artificial Intelligence or related field

Tools

TensorFlow
PyTorch
Keras

Job description

Event Staffing, a fast-growing tech company in Vejle, seeks an experienced AI Deep Learning Engineer for a part-time role. You will design, develop, and implement deep learning models for image, language, and other tasks, collaborating with cross-functional teams.

The ideal candidate has a Master/PhD-like background in AI, 2+ years in DL, strong Python/Java/C++, and experience with TensorFlow, PyTorch or Keras. Visa sponsorship is available if needed.

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