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Computer Vision Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Computer Vision Engineer (AI): Designing and developing advanced computer vision solutions for interactive systems with an accent on object detection, tracking, and segmentation. Focus on training and optimizing models for real-time inference and integrating them into production-ready systems to enable robust perception in real-world environments.

Location: Must be based in Singapore

Company

hirify.global is a global leader in gaming hardware and software, dedicated to revolutionizing the gaming experience through innovative technology and high-performance products.

What you will do

  • Develop and implement computer vision algorithms for tasks such as object detection, tracking, action recognition, and video understanding.
  • Design end-to-end computer vision systems to meet functional, performance, and scalability requirements.
  • Collaborate with data engineering teams to design annotation schemas and validation strategies for large-scale datasets.
  • Train, fine-tune, and optimize computer vision models using deep learning frameworks.
  • Optimize models for real-time inference and edge deployment, managing latency and memory constraints.
  • Work with software engineering teams to deploy models into production via APIs and messaging frameworks.

Requirements

  • Must be based in the Singapore office
  • Master’s or PhD in Computer Science, AI, Machine Learning, or a relevant field.
  • 2+ years of applied experience in computer vision or multimodal AI.
  • Proficiency in Python or C++.
  • Hands-on experience with OpenCV and deep learning frameworks like PyTorch or TensorFlow.
  • Strong analytical and problem-solving skills with excellent communication capabilities.

Nice to have

  • Experience with Vision-Language Models (VLMs), multimodal learning, or generative AI.
  • Knowledge of messaging and communication technologies like RabbitMQ, gRPC, or REST APIs.
  • Exposure to distributed training, large-scale experiments, or multi-GPU systems.
  • Experience with model optimization and deployment tools such as ONNX or TensorRT.

Culture & Benefits

  • Opportunity to work on a global mission to revolutionize gaming.
  • Access to accelerated growth, both personally and professionally.
  • Inclusive and diverse team environment committed to fair workplace practices.
  • Global exposure working across teams on 5 continents.

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