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Vision AI Manager

UNLIMITED HOLIDAYS - EXTRA HOLIDAYS - EXTRA PARENTAL LEAVE - LONG REMOTE PERIOD ALLOWED
Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Experience with computer vision and signal processing, Proficiency in OpenCV, Python, Pytorch and TensorFlow, Experience with large scale datasets, Ability to translate research findings into practical applications, PhD or Master's in Computer Science or relevant Engineering field.

Key responsabilities:

  • Design and develop AI systems leveraging computer vision
  • Build scalable data pipelines for model training and production
  • Engage in R&D of new AI capabilities
  • Work with large scale datasets and implement data preprocessing techniques
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Job description

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Your missions

Job Description:


  • Design and develop artificial intelligence AI systems leveraging a combination of signal processing, computer vision including large vision models and multi modal models.

  • Design and build scalable data pipelines to support model training and production with DevOps MLOps.

  • Engage in research and development of new AI capabilities especially in areas such as multi modal models including combining traditional computer vision capabilities with multi modal models, fine tune multi modal models for domain adaptation and optimize models for different deployment scenarios.

  • Work with large scale datasets and utilize data preprocessing techniques to ensure high quality input for training and production


  • Job Qualification:


  • Experience with computer vision, signal processing and deep learning. Proficiency in OpenCV, Python, Pytorch TensorFlow based CNN architectures, and large vision models e.g., ViT, DinoV2.

  • Experience handling large scale datasets and implementing data preprocessing and augmentation techniques for creating training datasets.

  • Proficiency in keeping abreast of the latest papers and research in AI, and the ability to translate research findings into practical applications.

  • PhD or Master in Computer Science or relevant Engineering field


  • Required profile

    Experience

    Level of experience: Mid-level (2-5 years)
    Spoken language(s):
    Check out the description to know which languages are mandatory.

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