ML Perception Professional

What should you bring along

• Solid understanding and extensive knowledge of computer vision, advanced machine learning, and deep learning principles
• Significant experience with machine learning frameworks such as TensorFlow, Keras, PyTorch, or ONNX
• Prior experience in end-to-end vision-based MLOps development cycle, from data collection strategy to deployment on the edge
• Ability to strategize ML testing using CI / CD-based development pipelines
• Experience in deploying neural networks on edge accelerators, leveraging graph optimization techniques, compiler design, and custom AI accelerator design
• Proficient understanding of CPU architecture : Ability to perform capacity estimation and planning to ensure that systems (built prototypes) are scalable and can handle projected workloads
• Strong programming skills in Python, with a deep understanding of data structures and algorithms
• Excellent communication skills in English and analytical and logical thinking ability

Optional / a plus to have   :

• Familiarity with developing applications using AWS
• Programming experience in C++, OpenCL and CUDA
• Experience in 3D reconstruction and 3D scene understanding (using Neural Radiance fields, Gaussian Splatting) or related fields
• Experience in data processing and algorithm development on sensor data from cameras, RADAR, and LiDAR, and knowledge in sensor fusion technology

Skills Required

C++, Opencl, Cuda, Aws, lidar, Ml