Machine Learning Engineer - Remote

MACHINE LEARNING ENGINEER - REMOTE

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.

Required Skills:

• Strong experience with Python and ML/CV frameworks (e.g., TensorFlow, PyTorch, OpenCV).
• Solid understanding of computer vision algorithms and real-time processing.

Nice to Have:

• 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.