AI Specialist – Artificial Intelligence/Machine Learning

Job Description

 This role combines expertise in artificial intelligence, machine learning, and edge computing to deploy intelligent solutions in low-latency, resource-constrained environments

Key Responsibilities :

– 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.

Preferred candidate profile – :

Required Skills and Qualifications :

– Coding : Python, C/C++

– Technology : Deep learning (Advanced- CNN/LSTM/Transformer- Capable to develop , retrain), GenAI, Computer Vision ,

– Edge AI stack ( QNN , SNPE , Onnx ) , Edge AI deployment , Model conversion and optimization suitable for edge

– Hardware platforms : ARM based SOC like Qualcomm SA8295 , GPU/ NPU/AI accelerators

– Deep learning Framework : TensorFlow, Pytorch,

– Strong understanding of software development lifecycle (SDLC) and Agile methodologies.

– Excellent problem-solving skills and attention to detail.

– Strong communication and teamwork abilities.

Preferred Skills :

– Knowledge on AI Model optimizations embedded hardware

– Linux/QNX/Android work experience

– Data bricks , MLOps

– Experience in automotive domain

– Audio /video frameworks on Linux/QNX/Android

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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