HeadChannel

πŸ‘₯ 11-50OutsourcingInformation TechnologySoftwareπŸ’Ό Private Company
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HeadChannel is a London-based software solutions company focused on accelerating growth and digital transformation for businesses across various sectors. We specialize in developing business-oriented software that prioritizes utility, ease of use, and efficiency, leveraging cutting-edge technologies to minimize operational costs and risks for our clients. Our expertise spans bespoke software development, enterprise AI integration, healthcare software, and IT outsourcing services. Our tech stack includes a modern mix of technologies. We leverage iPhone/Mobile Compatible designs, Viewport Meta, and modern web practices like SSL by Default and HSTS to ensure a secure and user-friendly experience. We utilize technologies like nginx, Amazon, Font Awesome, and LetsEncrypt. Our engineering culture emphasizes collaboration and innovation, enabling us to deliver high-quality software solutions. We're committed to a flexible, remote-friendly work environment. While our headquarters is in London, our projects often have a global reach. We are actively working on cutting-edge AI projects that impact dental diagnostics and patient care. Our Data Science team plays a crucial role in refining and improving our machine learning algorithms. With a proven track record and a commitment to innovation, HeadChannel provides an exciting environment for those looking to make a real-world impact.

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πŸ” Healthcare

  • 3+ years of experience working with computer vision models in a real-world application.
  • Strong programming skills in Python, with experience using TensorFlow, PyTorch, OpenCV, or similar frameworks.
  • Experience in medical imaging, 3D render processing, or dental diagnostics is highly desirable.
  • Proficiency in deep learning architectures (CNNs, GANs, Transformers, etc.).
  • Familiarity with data labeling techniques and synthetic data generation.
  • Strong understanding of model evaluation, bias detection, and continuous training methodologies.
  • Experience working with cloud-based AI/ML platforms (AWS SageMaker, Google AI, etc).
  • Model Optimization: Improve the inference engine’s results by fine-tuning models.
  • Data Annotation & Training: Work with annotated datasets to develop AI models.
  • Computer Vision Algorithms: Implement and improve machine learning algorithms.
  • Performance Evaluation: Analyze model performance, adjusting hyperparameters and feature selection to maximize accuracy and efficiency.
  • Collaboration: Work alongside software engineers.
  • Pipeline Development: Develop automated workflows for training, testing, and deploying computer vision models.
  • Research & Development: Stay up to date with the latest advancements in deep learning, neural networks, and AI-driven medical imaging.
Posted 3 days ago
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