4 - 7 years
18 - 25 Lacs
Posted:2 weeks ago|
Platform:
Work from Office
Full Time
An Edge AI Specialist is responsible for designing, developing, and optimizing AI models and systems to operate efficiently on edge devices. This role combines expertise in artificial intelligence, machine learning, and edge computing to deploy intelligent solutions in low-latency, resource-constrained environments
Design and train AI/ML models tailored for edge environments.
Optimize AI algorithms for low power consumption and minimal memory usage without compromising performance
Deploy and test AI models on edge devices
Deploy and monitor AI applications in real-world edge environments, ensuring reliability and robustness.
Troubleshoot and resolve issues related to latency, security, and resource utilization.
Ensure compliance with industry standards and best practices for AI and edge computing.
Edge AI stack ( QNN , SNPE , Onnx ) , Edge AI deployement , Model conversion and optimization suitable for edge
Strong understanding of software development lifecycle (SDLC) and Agile methodologies.
Excellent problem-solving skills and attention to detail.
Strong communication and teamwork abilities.
Knowledge on AI Model optimizations embedded hardware
Linux/QNX/Android work experience
Databricks , MLOps
Expereince in automative domain
Audio /video frameworks on Linux/QNX/Android
Symbiosis Management Consultants
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