Hiire
Hiire
Hiire is a recruitment consultancy focused on helping companies build technology teams. Its services include in-house recruitment, direct hiring, recruitment training, and career advisory programs. Working across the tech talent market, Hiire supports businesses with sourcing qualified professionals, improving hiring processes, and addressing the challenges of recruiting for technical roles.

Senior Computer Vision Engineer - Hybrid Portugal

Lead the development of real-time computer vision and machine-learning systems for sports and news video. Guide production model development and help grow the computer vision and machine-learning team.

Description

  • Develop and deliver production-ready algorithms for real-time video understanding, covering detection, tracking, classification and segmentation.
  • Continuously evaluate, analyse gaps in, retrain and fine-tune machine-learning models.
  • Build high-performance, maintainable production software in C++ and conduct research and development in Python.
  • Work with backend and product teams to connect the vision pipeline with the wider platform.
  • Lead, support and mentor the expanding computer vision and machine-learning team.
  • Establish technical direction, conduct code reviews and improve delivery standards.
  • Define team roles, evaluate candidates and support hiring and team development.
  • Foster a rigorous, curious culture in which research guides engineering and teams remain focused on outcomes.

Requirements

  • At least six years of hands-on experience building and deploying production computer vision or machine-learning systems.
  • Advanced C++ skills for production development and Python skills for research and development.
  • Strong software engineering practices, including version control, CI/CD and automated testing.
  • Deep knowledge of OpenCV.
  • Practical experience with PyTorch or TensorFlow, or another major deep-learning framework.
  • Strong grounding in algorithms, linear algebra, probability and optimisation.
  • Experience leading or mentoring engineers and improving team output and quality.
  • Familiarity with Linux, FFmpeg or GStreamer for video-pipeline development.
  • A Master's degree or equivalent expertise in computer science, electrical engineering or a related computer vision or machine-learning discipline.
  • Experience with real-time or low-latency video systems at scale is advantageous.
  • Experience in sports video, broadcasting or sports analytics is advantageous.

Benefits

  • Competitive compensation based on experience, with flexibility for the right candidate.
  • Support for conferences, courses and personal development.
  • Flexible working hours.
  • Collaborative hybrid working environment.

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