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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
- Develop client-side applications for edge compute devices to integrate ML/CV models.
- Implement orchestration logic for multi-model CV systems and sensor data interpretation.
- Ensure smooth communication between ML components and application layers via REST APIs.
- Optimize application-level performance for low latency and reliability.
- Collaborate closely with ML developers, backend engineers, and DevOps for deployment.
- Proficient in Python development and environment setup; C/C++ experience is a plus.
- Strong experience with Linux-based devices and REST API integration.
- Familiarity with Docker containers for application packaging and deployment.
- Experience with edge computing and distributed systems.
- Knowledge of computer vision concepts and programmatic video processing.
- Understanding of ML/CV model integration and sensor data workflows.
Key Skills
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Join Capgemini Engineering and take your career to the next level!
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