VinDynamics
AI tóm tắt
Skills bắt buộc
Define and own the AI technical roadmap across Computer Vision, Vision-Language Models, and Behavioral Data Analytics.
Lead multidisciplinary AI teams focused on perception (vision/VLM) and behavior modeling, ensuring strong alignment between research and product delivery.
Design and oversee the development of AI models enabling robots to perceive environments, recognize human actions, and generate context-aware responses.
Architect and supervise large-scale multimodal data pipelines, including data collection, annotation, training, evaluation, and continuous retraining.
Evaluate, optimize, and deploy AI models on embedded and edge platforms such as NVIDIA Jetson AGX and RTX-based systems.
Establish model monitoring, performance evaluation, safety validation, and lifecycle management for production AI systems.
Drive research directions in embodied intelligence, multimodal learning, and responsible/ethical AI deployment.
Mentor engineers and researchers, set clear quarterly OKRs, and build a high-performance AI organization with measurable outcomes.
Bachelor’s, Master’s, or PhD in Artificial Intelligence, Computer Science, Robotics, or a related field.
7+ years of experience in AI or robotics R&D, including at least 3 years in a technical leadership or managerial role.
Strong expertise in computer vision (object detection, segmentation, pose estimation) and transformer-based architectures such as ViT, CLIP, BLIP, LLaVA, RT-2, or OpenVLA.
Proven hands-on experience training and deploying multimodal vision-language models in real-world systems.
Proficiency in Python and modern AI frameworks including PyTorch and TensorFlow.
Solid experience designing AI data pipelines and analytics workflows using tools such as Pandas, Spark, or equivalent.
Strong understanding of model optimization and deployment on edge and embedded platforms.
Excellent communication, leadership, and strategic planning skills, with the ability to manage and inspire multidisciplinary AI teams.
Research background in Vision-Language Models, Reinforcement Learning, or Embodied AI.
Publications in top-tier conferences such as CVPR, ICCV, NeurIPS, ICRA, or CoRL.
Experience with ROS2, real-time inference, and integrating AI modules into robotic control systems.
Background in AI-based security or behavioral analytics, including event detection, anomaly prediction, or crowd monitoring.
Experience building AI infrastructure, including MLOps, model versioning, experiment tracking, and performance dashboards.
Familiarity with AI safety alignment and hallucination mitigation in VLM or VLA systems.
Nguồn: careers VinDynamics
