Embedded AI Engineer

Description

We are seeking an experienced Embedded AI Engineer to join our innovative team in India. The ideal candidate will have a strong background in embedded systems and artificial intelligence, with a passion for developing cutting-edge AI solutions that operate efficiently on hardware platforms.

Responsibilities

• Deep Learning Model Development: Design and develop advanced deep learning models for computer vision tasks.
• Embedded Deployment: Deploy, optimize, and integrate AI models on embedded platforms and NPUs.
• Performance Optimization: Work on performance optimization for resource-constrained devices, ensuring efficient execution.
• Collaboration: Collaborate with cross-functional teams, including hardware and software engineers, to integrate AI solutions.
• Learning & Growth: Stay current with the latest advancements in deep learning, AI model deployment, and embedded systems.
• Testing & Validation: Validate and test AI models to ensure high reliability and efficiency on embedded systems.

Skills and Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Electronics and Communication Engineering (ECE), or a related field
• 3-5 years of experience in embedded systems and AI development.
• Strong proficiency in Python and experience with Python libraries such as NumPy, Pandas, Scikit-learn, and Matplotlib.
• Hands-on experience with machine learning and deep learning concepts.
• In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch, Keras).
• Solid understanding of computer vision and image processing.
• Experience with AI model optimization for embedded platforms.
• Familiarity with OpenCV, GStreamer, and CUDA for GPU acceleration.
• Experience in designing custom CNN, RNN, and LSTM models.
• Proven experience deploying models on NPUs or embedded platforms (e.g., Hailo, Jetson Nano, Coral Dev Board).
• Practical knowledge of optimization techniques for resource-constrained devices (e.g., memory, compute).