Computer Vision Engineer

Fogsphere

London, United Kingdom
On-site
Deep learning model development
Python and ml frameworks proficiency
Cnns and vits understanding
Fogsphere transforms workplace and urban safety through advanced AI, Computer Vision, and Industrial IoT with a scalable edge-to-cloud platform

Job Summary

  • Fogsphere transforms workplace and urban safety through advanced AI, Computer Vision, and Industrial IoT with a scalable edge-to-cloud platform.
  • The role involves designing, training, and deploying cutting-edge computer vision deep learning models while collaborating with software engineering teams.
  • Fogsphere offers zero micromanagement, opportunities for professional development, collaboration with academics, and a competitive salary and benefits package.

Matching Summary

Fogsphere transforms workplace and urban safety through advanced AI, Computer Vision, and Industrial IoT with a scalable edge-to-cloud platform.

Skills & Requirements

Must-have

  • Deep learning model development
  • Python and ML frameworks proficiency
  • CNNs and ViTs understanding
  • Dataset preparation and augmentation
  • Model optimization techniques
  • MLOps frameworks experience
  • Version control and code testing

Nice-to-have

  • VLM fine-tuning experience
  • Cloud platforms knowledge
  • Multimodal AI background
  • Open-source contributions or publications
  • Edge computing applications
  • ANPR, Face Recognition, Image Retrieval

Key Requirements

  • MSc in Computer Vision or related field
  • 2+ years deep learning experience
  • Strong Python and ML frameworks skills
  • Experience with CNNs and ViTs
  • Knowledge of optimization and evaluation metrics
  • Experience with MLOps tools

Work Rights

Not specified

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