Artificial Intelligence Engineer - Computer Vision & Hardware Integration

Our Client is seeking a skilled and experienced AI Engineer with expertise in computer vision, data science, hardware setup, and processing requirements. The ideal candidate will have at least 3 years of professional experience in designing, implementing, and optimizing AI solutions that integrate hardware and software. You will play a critical role in developing and deploying state-of-the-art computer vision systems tailored to specific hardware platforms and use cases. Key Responsibilities : 1. Computer Vision Development : - Design, develop, and deploy computer vision algorithms for applications such as object detection, recognition, tracking, and scene understanding. - Optimize vision models for real-time processing and resource-constrained environments. 2. Hardware Integration : - Set up, configure, and optimize hardware platforms for AI solutions, including GPUs, TPUs, and embedded devices. - Ensure seamless interaction between hardware and AI models, including custom hardware configurations when necessary. 3. Performance Optimization : - Analyze processing requirements and optimize pipelines for speed, memory usage, and power efficiency. - Use tools like TensorRT, OpenVINO, or ONNX to accelerate AI models. 4. Collaboration : - Work with cross-functional teams to define hardware requirements and ensure compatibility with AI workflows. - Collaborate with data scientists to preprocess data and train robust computer vision models. 5. Deployment and Maintenance : - Deploy AI solutions on various platforms, ensuring scalability and reliability. - Monitor and maintain AI systems to ensure optimal performance in production environments. Required Qualifications : - Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. - Minimum of 3 years of experience in AI engineering, with a focus on computer vision. - Strong knowledge of deep learning frameworks such as TensorFlow, PyTorch, or Keras. - Experience in setting up and working with hardware platforms, including GPUs, FPGAs, or edge devices like NVIDIA Jetson or Google Coral. - Proficiency in programming languages such as Python, C++, or CUDA. - Hands-on experience with tools for hardware acceleration (e.g., TensorRT, OpenVINO, or ONNX Runtime). Preferred Skills : - Familiarity with robotics or autonomous systems. - Knowledge of hardware-software co-design principles. - Experience with edge AI deployment and optimization. - Familiarity with data annotation tools and datasets for computer vision tasks. - Excellent problem-solving and debugging skills. (ref:hirist.tech)

Location: mumbai, IN

Posted Date: 11/25/2024