Computer Vision & AI Engineer, Up to Senior Level

Develop efficient deep learning architectures and models. Master's or PhD degree in Electrical Engineering, Computer Science, and/or closely related field. 3+ years of professional experience in computer deep learning software development for applications. 2+ years of experience developing practical deep learning algorithms using PyTorch, TensorFlow, or other deep learning frameworks. Excellent knowledge of C++ and object-oriented programming, capability to design and implement robust, high-performance, and flexible system software. Excellent software design, problem solving and debugging skills. Solid Background in software development, Computer Vision or Computer Graphics. Solid background in machine/deep learning fundamental knowledge and mathematics. Proficiency in C/C++ and Python programming. Professional experience in GUI and gstreamer development is preferred. Expertise in various networks architectures such as VAE, GAN, diffusion, transformer, Gaussian Splatting, NeRF, U-Nets, ResNets models. Experience of deep learning model pruning, compression, and quantization for executing on edge device without performance decreasing. Experience of LLM code assistant for engineering work. Self-motivated and strong desire to learn new technologies, design novel techniques and propose them for technology commercialization. Master's degree in Computer Science, Electrical Engineering, or Information Systems Keywords Software architecture, AI Frameworks, Data Manipulation, LLM, Deep Learning, Computer Vision, Computer Graphics, Machine Learning, Performance Optimization, Python, Forensic search. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.