Color Imaging AI Innovator for Mobile Vision

Enko Group Finland

Tampere

On-site

EUR 65,000 - 90,000

Full time

6 days ago
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Job summary

Enko Group, recruiting for a client in Tampere, Finland, seeks a Color Imaging AI Research Engineer to advance AI models for imaging, ISP pipelines and color processing. Strong expertise in Python, PyTorch, TensorFlow, and model optimization for mobile devices is required.

The role emphasizes building synthetic data pipelines, addressing real-world performance issues, and collaborating with hardware imaging teams to deliver practical solutions.

Qualifications

  • PhD or MSc studying towards PhD in computer vision, machine learning, signal/image processing, or associated discipline.
  • Deep understanding of the theory behind the machine learning, deep learning methods and imaging technologies.
  • Proven ability to build, train, fine-tune and assess deep learning models for vision tasks such as generative AI, image/video restoration, 3D-vision and multimodal learning.

Responsibilities

  • Research and develop AI models for computational photography, image/video enhancement, color processing and ISP pipeline algorithms.
  • Prototype in PyTorch or TensorFlow and optimize for NPU-compatible deployment.
  • Collaborate with imaging teams to address key problems and deliver effective solutions.
  • Stay updated on latest AI imaging algorithms and refine for mobile imaging use cases.
  • Research and implement new color and spectral imaging algorithms to reach perceptual targets.

Skills

Python
PyTorch
TensorFlow
NPU optimization
Color imaging

Education

PhD or MSc in related field

Tools

ONNX
TensorFlow

Job description

Enko Group, recruiting for a client in Tampere, Finland, seeks a Color Imaging AI Research Engineer to advance AI models for imaging, ISP pipelines and color processing. Strong expertise in Python, PyTorch, TensorFlow, and model optimization for mobile devices is required.

The role emphasizes building synthetic data pipelines, addressing real-world performance issues, and collaborating with hardware imaging teams to deliver practical solutions.

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