Senior Data Scientist (Computer Vision Engineer)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Scientist (Computer Vision Engineer): Designing and developing advanced computer vision solutions for interactive systems with an accent on object detection, tracking, segmentation, image classification, and video analysis. Focus on building scalable production-ready vision systems, optimizing models for real-time inference, and integrating into production environments via APIs and messaging frameworks.
Location: Singapore or Chengdu (full-time onsite)
Company
Global gaming company revolutionizing gaming experiences with a distributed team across 5 continents.
What you will do
- Develop computer vision algorithms for object detection, tracking, action recognition, segmentation, image classification, and video understanding.
- Design end-to-end computer vision systems meeting functional, performance, and scalability requirements.
- Collaborate with data engineers on annotation schemas, labeling taxonomies, and data validation for large-scale image/video datasets.
- Train, fine-tune, and optimize computer vision models using deep learning frameworks.
- Evaluate model performance, optimize for real-time inference and deployment, and integrate into production systems.
- Conduct testing, validation, documentation, and stay updated on computer vision advancements while considering ethical implications.
Requirements
- Proven experience developing computer vision algorithms and models in real-world applications.
- Proficiency in Python or C++ and strong understanding of image/video processing.
- Hands-on with OpenCV, PyTorch, TensorFlow, and annotated datasets for model training.
- Ability to evaluate/optimize models using metrics, plus strong analytical and problem-solving skills.
- Excellent communication skills across technical and non-technical teams.
- Master’s or PhD in Computer Science, AI, Machine Learning, or related; 2+ years applied experience in computer vision or multimodal AI.
Nice to have
- Experience with Vision-Language Models (VLMs), multimodal learning, or generative AI for vision.
- Knowledge of RabbitMQ, gRPC, REST APIs, distributed training, or model optimization (ONNX, TensorRT).
Culture & Benefits
- Gamer-centric #LifeAt experience with accelerated personal and professional growth.
- Inclusive, respectful workplace as an Equal Opportunity Employer.
- Reasonable accommodations for disabilities or religious practices.
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