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About SHL Medical SHL Medical is the world-leading solution provider in the design, development, and manufacturing of advanced drug delivery systems with more than 5000 employees worldwide. Our customers include top…
Urbiotica is seeking a mid-level software engineer to design and maintain real-time data streaming pipelines for their IoT sensor network. The role focuses on processing large-scale data using technologies like Apache Flink, Python, and Apache Iceberg to support smart city solutions.
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.
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.
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.
We exist to be the go-to companion, empowering everyone to transform their free time into experiences. At Smartbox Group, we believe that real-life experiences help us thrive, connect, and become the best versions of…
Обязанности Разработка, обучение и вывод в продакшн моделей сегментации и детекции объектов на изображениях Опыт настройки инфраструктуры под задачи ML и MLOps Построение и поддержка надежного сквозного конвейера: от…
Armed security guard patrolling residential and commercial properties in the Los Angeles area on night shifts across multiple sites.
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.
Multi-stack programmer maintaining and developing an ERP system (Access/PostgreSQL), legacy VFP8 platforms, Python automation tools, and CAD/DXF processing pipelines at a switchgear manufacturing company.
Develop and maintain software and applied AI solutions—especially computer vision (OpenCV, YOLO)—across a portfolio of projects, integrating IoT devices, deploying to cloud and on-prem servers, and building internal dashboards using Python, Docker, and JS/TS.
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9…
The Lead AI Engineer will design and deploy production-grade computer vision and speech processing pipelines for Digital Green's multilingual agricultural advisory platform, FarmerChat. This role involves building optimized inference systems, defining evaluation frameworks, and mentoring junior engineers to support smallholder farmers globally.
Career Area: Engineering Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other.…
Pat Scales Remodeling Commute to Columbus, OH (Required) | Full-Time | In-Office Since 2006, Pat Scales Remodeling has been helping homeowners throughout Central Ohio transform the way they live through exceptional…
Develops hybrid perception systems for autonomous spacecraft by blending classical computer vision (Kalman filters, tracking) with deep learning (YOLO, ResNet) to detect, classify, and track objects in space.
Join Spyrosoft’s growing Data & AI Unit as a GeoAI Architect / GeoAI Lead, and take the lead in building cutting-edge geospatial and AI-driven solutions that connect technology, analytics, and real-world impact.…
Designs and deploys scalable AI/ML systems, including GenAI and computer vision, while leading reusable frameworks and mentoring teams to raise technical standards across projects.
Build and deploy software to automate high-throughput lab workflows, integrating hardware and AI models to accelerate drug discovery and development.
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