AI Deep Learning Engineer – Model Architect (Roskilde)

Work in USA; Roskilde; On-site; DKK 72,000 - 87,000; Full time

Job summary

Work in USA in Roskilde, Denmark seeks a full-time AI Deep Learning Engineer to design, implement, and optimize models for diverse applications. You will use Python, Java, or C++ with TensorFlow, PyTorch, and Keras, collaborate with cross-functional teams, and conduct research to stay ahead in AI.

The role requires a Bachelor's or Master's degree and at least 3 years in deep learning, with strong data analysis skills using Pandas/NumPy and hands-on deployment experience.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Minimum of 3 years of experience in deep learning development.
• Strong knowledge of programming languages such as Python, Java, or C++.
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Familiarity with data analysis tools such as Pandas or NumPy.
• Understanding of neural networks including CNNs and RNNs.

Responsibilities

• Design and develop deep learning models and algorithms for various applications.
• Implement and optimize models using Python or Java.
• Collaborate with cross-functional teams to gather requirements and provide technical solutions.
• Conduct research to stay updated on the latest developments in deep learning.
• Test and evaluate models for accuracy and performance.
• Troubleshoot and debug issues during development or deployment.

Skills

Problem solving

Independent work

Team collaboration

Attention to detail

Education

Bachelor's/Master's in CS/Engineering or related field

Tools

Python

Java

C++

TensorFlow

PyTorch

Keras

Pandas

NumPy

Job description

Work in USA in Roskilde, Denmark seeks a full-time AI Deep Learning Engineer to design, implement, and optimize models for diverse applications. You will use Python, Java, or C++ with TensorFlow, PyTorch, and Keras, collaborate with cross-functional teams, and conduct research to stay ahead in AI.

The role requires a Bachelor's or Master's degree and at least 3 years in deep learning, with strong data analysis skills using Pandas/NumPy and hands-on deployment experience.