Lead Engineer - Computer Vision

6 days ago

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Inmar Intelligence

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Inmar Intelligence is a company dedicated to using data and technology to empower brands, retailers, and healthcare companies to improve consumers' lives. They specialize in activating data to enhance shopper engagement through Martech solutions, optimize healthcare supply chains, and manage product returns efficiently. Inmar Intelligence integrates artificial intelligence to make data-driven decisions, helping to save shoppers money, improve healthcare safety, and reduce landfill waste. The company focuses on driving consumer loyalty, improving patient safety, and enhancing pharmaceutical returns, promoting a more sustainable and cost-effective environment for both businesses and consumers.

promotion management and settlement • digital promotion • promotion consulting • third party pharmacy receivables • reverse logistics

1001 - 5000 employees

Founded 1983

🤖 Artificial Intelligence

🛍️ eCommerce

📋 Description

• We are seeking a Lead Computer Vision Engineer with expertise in image detection, barcode detection and reading, and edge (border) detection to drive the development of intelligent vision-based systems. • This role will be responsible for designing and implementing advanced computer vision models and algorithms that provide image processing, object recognition, and real-time barcode scanning capabilities. • The ideal candidate has a strong background in deep learning, image analysis, and embedded vision applications, with experience deploying solutions in production environments. • Develop and optimize image detection algorithms for object recognition, classification, and anomaly detection. • Design and implement barcode detection and reading models for various symbologies (e.g., 1D, 2D, QR codes). • Create edge detection and segmentation algorithms to accurately extract regions of interest from images. • Collaborate with software engineers to integrate computer vision models into production applications. • Deploy vision-based applications in cloud, edge, and mobile environments (e.g., Azure, GCP, iOS/Android (MAUI), or IoT devices). • Utilize deep learning frameworks such as TensorFlow and OpenCV (EMGU) to develop vision-based AI models. • Implement real-time object tracking and pose estimation for dynamic applications. • Optimize vision models for low-latency and high-accuracy performance in real-world environments. • Stay updated with the latest advancements in computer vision, AI, and image processing. • Experiment with novel techniques in generative AI, reinforcement learning, and 3D vision reconstruction.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Vision, AI, Electrical Engineering, or a related field (Ph.D. preferred). • 6+ years of experience in computer vision and image processing. • Proven experience in image detection, barcode scanning, and edge/feature detection. • Hands-on expertise with OpenCV (EMGU) and TensorFlow/TensorFlowRT for vision-based applications. • Strong programming skills in Python, HTML5/Javascript, C#, MAUI, and OpenCV (EMGU) for mobile app and backend development. • Experience with barcode scanning SDKs, OCR frameworks, and optical character recognition (Tesseract, EasyOCR). • Familiarity with geometric transformations, contour detection, and feature extraction techniques. • Experience with real-time video analysis and embedded vision applications. • Knowledge of cloud-based AI/ML deployment on GCP, or Azure. • Strong analytical and problem-solving abilities. • Excellent communication skills, with the ability to present complex technical concepts to non-technical stakeholders. • Leadership experience in guiding junior engineers and collaborating with cross-functional teams. • Experience with LiDAR, depth sensing, and multispectral imaging. • Knowledge of SLAM (Simultaneous Localization and Mapping) for robotics or AR applications. • Familiarity with augmented reality (AR) and computer vision in mixed reality environments. • Experience with compliance and security regulations in computer vision for healthcare, finance, or industrial sectors.