Artificial Intelligence Engineer

AI Engineer – Computer Vision & Voice Recognition (Utilities Focus) Required Skills: • 3+ years of experience in AI/ML • Strong background in computer vision, image processing, and 3D geometry • Experience with facial and voice recognition or 3D sensor fusion • Proficient in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) • Bachelor’s degree in a related field Preferred: • Experience deploying models on edge/embedded devices • Real-time inference and model optimization • Utility industry experience (e.g., smart grid, asset monitoring, outage detection) • Master’s degree Responsibilities: • Build and train models for facial and voice recognition • Prepare and manage multimodal datasets (image, audio, sensor) • Optimize models for real-time performance and edge deployment • Evaluate and improve model accuracy and robustness • Apply AI to utility use cases such as: • Voice-enabled field tools • Facial recognition for secure facility access • Sensor fusion for infrastructure inspection • Predictive maintenance using visual/audio data • Real-time outage detection Day-to-Day: Join a team developing advanced AI models for facial and voice recognition, with applications in the utility sector. You'll work on real-time systems that support smart infrastructure, field operations, and asset reliability. Projects include voice-controlled diagnostic tools, AI-powered inspection drones, and multimodal analytics for outage response and grid optimization.