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Senior Computer Vision Engineer developing cutting-edge perception and vision algorithms for autonomous systems, particularly for spacecraft operations. Core technologies include computer vision, machine learning, Python, C++, PyTorch, TensorFlow, and ROS.
Principal AI Engineer building high-throughput computer vision systems on NVIDIA Jetson edge hardware using C++, Python, PyTorch, CUDA, and TensorRT for real-time multi-modal sensor tracking.
Architect, deploy, and scale manufacturing intelligence systems at Sandisk, owning end-to-end RPA and computer vision/ML pipelines on the factory floor. Core tech: Python, C#, deep learning (YOLO, transformers, CNNs), OpenCV, and SQL.
Develops and optimizes computer vision algorithms for SLAM and VIO systems, integrating multi-sensor data to improve localization in C++/Linux environments.
Computer Vision engineer developing and deploying CV models for Sberbank's SmartView video analytics platform (300K+ cameras), working end-to-end from data prep and model training to production monitoring, using Python, PyTorch, and Docker/Kafka microservices.
Hands-on Senior Computer Vision Engineer building and deploying CV/ML models (object detection, anomaly detection, classification) using Python, PyTorch/TensorFlow, and OpenCV into production and edge environments.
At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet…
Develops and implements C++ algorithms for industrial image processing and pattern recognition, optimizing ML models and integrating camera systems into software architectures for industrial clients.
The Embedded Software Engineer will develop and optimize high-performance video analytics software for edge devices using C++, Linux, and computer vision frameworks. The role involves integrating deep learning models into real-time video pipelines and optimizing performance for embedded hardware platforms.
Senior Data Scientist collaborating with R&D scientists at Qnity Electronics in Cleveland, applying statistical modeling, machine learning, deep learning, computer vision, and generative AI/LLMs to solve scientific and engineering problems in the semiconductor and advanced electronics space.
This role involves developing and deploying computer vision and machine learning solutions for industrial inspection, specifically for engine block defect detection. The position focuses on integrating algorithms, optimizing models for Cloud and Edge environments, and building efficient inference pipelines using Python, C++, and various AI frameworks.
Builds and optimizes server-side AI skills for a desktop personal assistant that automates routine tasks using LLMs, computer vision, and UI parsing across Windows/macOS/SberOS.
Задачи: Создание моделей нейронных сетей в задачах Object detection, Instance Segmentation, Classification, Pose Estimation. Проработка сценариев тестирования моделей машинного обучения. Участие в создании инструкций…
Привет! Это команда Возвраты ML. Мы ищем талантливого Data Scientist/ML Engineer в новую ML-команду отдела «Возвраты маркетплейса». Отдел занимается обработкой и модерацией возвратов покупателя и продавца, аннуляциями,…
Backend AI Engineer designing and owning core AI infrastructure—model-serving pipelines, inference/orchestration layers, data pipelines, and APIs/microservices—for GenAI, CV, and ML models in heavy industries, primarily using TypeScript/Node.js.
Build and optimize AI/ML models for computer vision tasks using TensorFlow/PyTorch, deploying scalable solutions on AWS with CI/CD pipelines.
Senior Computer Vision Engineer builds AI-powered visual systems for retail robots, focusing on barcode/QR scanning, product recognition, and edge deployment using OpenCV, PyTorch, and ROS2.
Develop AI models to analyze soil images and XCT scans for geotechnical labs, classifying soil structures and assessing sample quality to support digital soil analysis and Marine Ground Digital Twin initiatives.
Develops advanced AI/ML models (tree models, deep learning, reinforcement learning, Generative/Agentic AI) to optimize P&G’s billion-dollar operations, combining cloud-based data analysis with scalable production deployment.
Data Scientist at P&G designing and implementing scalable ML/AI algorithms—including Generative/Agentic AI, optimization, and deep learning—on massive cloud-hosted datasets using Python and mainstream ML libraries.
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