Job Responsibilities

• Design, develop, and optimize AI/ML models for deployment on resource-constrained edge devices (e.g., microcontrollers, specialized AI accelerators).
• Implement efficient inference engines and real-time data processing pipelines at the edge.
• Work with various sensor data (e.g., vision, audio, motion) to develop robust AI applications.
• Collaborate with hardware engineers to select appropriate edge computing platforms and ensure seamless integration of AI solutions.
• Optimize model performance for power consumption, latency, and memory footprint on target hardware.
• Develop and implement MLOps strategies for continuous integration, deployment, and monitoring of edge AI models.
• Conduct performance benchmarking and validation of edge AI solutions.
• Stay abreast of the latest advancements in edge computing, AI hardware, and machine learning algorithms.
• Provide technical gui...