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Description
Our client is one of the largest grocery and retail chains in North America, serving millions of customers across thousands of stores and e-commerce platforms. They are committed to delivering high-quality products, exceptional customer experiences, and leveraging technology to drive innovation in retail operations, supply chain management, and digital transformation. The organization maintains a strong focus on sustainability, community engagement, and continuous improvement through data-driven decision-making and modern cloud-based solutions.
Responsibilities
- Work with ML/CV frameworks and cloud-based AI services to develop optimized computer vision models.
- Curate and preprocess data from multiple video streams and sensors.
- Design and implement scalable multi-model systems for interpreting physical environments.
- Perform statistical analysis on datasets to improve model accuracy.
- Develop and optimize algorithms for image analysis, video processing, and real-time performance.
- Integrate ML/CV solutions into production systems and ensure reliability at scale.
- Strong experience with Python and ML/CV frameworks (e.g., TensorFlow, PyTorch, OpenCV).
- Solid understanding of computer vision algorithms and real-time processing.
- Knowledge of specialized deep learning architectures like Convolutional Neural Networks (CNNs), which are specifically designed for visual data.
- Experience with cloud-based AI services (e.g., Google Cloud AI Platform, AWS SageMaker) and deployment strategies.
- Experience with object detection, tracking, image segmentation, OCR, pose estimation, and related CV tasks.
- Experience with sensor fusion and multi-modal data integration.
- Understanding of edge computing and distributed ML systems.
Key Skills
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