Computer Vision Engineer (Mid/Senior)

Razer

  • Singapore
  • Permanent
  • Full-time
  • 1 month ago
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.Job Responsibilities :Essential Duties and Responsibilities
  • Develop and implement computer vision algorithms for tasks such as object detection, recognition, tracking, segmentation, and image classification.
  • Design and architect computer vision systems to meet specific requirements and objectives.
  • Collect, curate, and annotate large datasets of images or videos for training and evaluation of computer vision models.
  • Train, fine-tune, and optimize computer vision models using machine learning frameworks and deep learning libraries.
  • Evaluate the performance of computer vision models using appropriate metrics and benchmarks.
  • Integrate computer vision algorithms and models into larger software systems or products.
  • Conduct testing and validation to ensure the functionality, reliability, and accuracy of computer vision systems.
  • Document design specifications, technical requirements, and implementation details for computer vision solutions.
  • Stay updated on emerging technologies, trends, and advancements in computer vision through research and experimentation.
  • Consider ethical, legal, and regulatory implications in the development and deployment of computer vision systems
Pre-Requisites :Qualifications
  • Bachelor’s or master’s degree in computer science, Electrical Engineering, or a related field.
  • Proven experience in developing and implementing computer vision algorithms and models.
  • Proficiency in programming languages such as Python or C++.
  • Strong understanding of image and video processing techniques and methodologies.
  • Familiarity with computer vision libraries such as OpenCV.
  • Experience with data collection, annotation, and preparation for model training.
  • Ability to evaluate and optimize model performance using appropriate metrics and benchmarks.
  • Experience integrating computer vision solutions into software systems or products.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities
Education & ExperienceHas a Bachelor’s or Master’s degree in computer science, Data Engineering, AI/ML, or a related field from an accredited institutionTravel RequirementsRole based in ​Singapore office​ and may require up to 1 travel trip per year.*Shortlisted candidates will be contacted for assessment in due courseAre you game?

Razer