обновлено 1 месяц назад
Senior Data Scientist (Computer Vision Engineer)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Computer Vision Engineer): Designing and developing production-ready computer vision and multimodal systems for interactive applications with an accent on object detection, tracking, segmentation, video understanding, and real-time inference. Focus on training and optimizing vision models, building scalable data and deployment pipelines, and integrating perception systems through APIs and messaging frameworks.
Location: Singapore
Company
Razer develops gaming products and interactive systems for a global gaming audience.
What you will do
- Design and implement computer vision algorithms for object detection, tracking, action recognition, segmentation, image classification, and video understanding.
- Build end-to-end, scalable computer vision systems that meet functional, performance, and reliability requirements.
- Define annotation schemas, labeling taxonomies, data requirements, and validation strategies for image, video, and multimodal datasets.
- Train, fine-tune, evaluate, and optimize computer vision and multimodal models using task-specific metrics and benchmarks.
- Optimize models for real-time inference, edge deployment, and large-scale serving while managing latency, memory, and throughput.
- Collaborate with data engineers, game developers, and software engineers to integrate models into production through APIs and messaging frameworks.
Requirements
- 2+ years of applied experience in computer vision or multimodal AI in academic or industry settings.
- Master’s or PhD in Computer Science, AI, Machine Learning, or a related field.
- Proficiency in Python or C++ and strong knowledge of image and video processing.
- Hands-on experience with OpenCV and deep learning frameworks such as PyTorch and TensorFlow.
- Experience working with annotated datasets and evaluating and optimizing model performance.
- Strong analytical, problem-solving, written, and verbal communication skills.
Nice to have
- Experience with Vision-Language Models, multimodal learning, or generative AI for vision tasks.
- Experience with RabbitMQ, gRPC, REST APIs, distributed training, large-scale experiments, or multi-GPU systems.
- Experience with ONNX, TensorRT, edge deployment, or real-time inference.
Culture & Benefits
- Work across a global team located across five continents.
- Inclusive and respectful workplace with equal-opportunity employment practices.
- Reasonable accommodations are provided where needed for disability or religious practices.
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