Lead the entire machine learning software development lifecycle, from concept and research to deployment and ongoing optimization, for embedded platforms
Job Summary
Lead the entire machine learning software development lifecycle, from concept and research to deployment and ongoing optimization, for embedded platforms.
Architect, design, and implement robust, efficient, and scalable machine learning algorithms and models, with a focus on deep learning, computer vision, and signal processing.
Develop and implement rigorous testing, validation, and deployment strategies for ML models to ensure accuracy, reliability, and security in embedded environments.
Matching Summary
Lead the entire machine learning software development lifecycle, from concept and research to deployment and ongoing optimization, for embedded platforms.