Job Requirements Design and develop AI ML-based applications with a focus on deployment on embedded hardware platforms e g Renesas RZ V2H NVIDIA Jetson STM32 etc Port and optimize AI models for real-time performance on resource-constrained embedded systems Perform model quantization pruning and conversion e g ONNX TensorRT TVM TFLite DRP-AI for deployment End-to-end AI model lifecycle development including data preparation training validation and inference optimization Customize and adapt AI network architectures for specific edge AI use cases e g object detection classification audio detection Data Preparation Preprocessing Collect organize and preprocess audio image datasets Work Experience Minimum 5 years of experience in AI ML application development Robust Python programming skills including AI frameworks such as PyTorch TensorFlow Keras Solid experience in developing deep learning-based solutions for Computer Vision Imaging and Audio Deep understanding of DL architectures like CNN FCN and their application to visual tasks Experience in model optimization techniques such as quantization pruning layer fusion and INT8 calibration for edge inference Hands-on experience in deploying AI models on embedded platforms Proficiency in tools such as OpenCV ONNX TVM TFLite or custom inference engines Understanding of system constraints like memory compute and power on edge devices Exposure to real-time audio processing video processing and robotics

📌 Ai - Senior Software Engineer (Kerala)
🏢 Quest Global
📍 Kerala