Intern - AI Systems

About We are seeking a passionate and research-oriented Intern to work with the AI/Autonomy team to design and implement AI-driven control and stabilization algorithms for the tethered aerostat system.

Description Key Responsibilities | AI/ML Model Development • Develop machine learning models for aerostat control and prediction • Implement computer vision algorithms for surveillance payloads • Work on sensor fusion and state estimation using AI techniques • Support development of autonomous decision-making systems | Data Processing & Analysis • Process and analyze flight data for model training • Implement data pipelines for real-time inference • Create visualization tools for AI model outputs | Deployment & Testing • Deploy AI models on edge devices and embedded systems • Support simulation and hardware-in-loop testing • Document AI architectures, algorithms, and performance metrics

Requirements • Pursuing or completed B.Tech/M.Tech in Computer Science, AI/ML, or related field • Strong programming skills in Python • Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) • Understanding of deep learning, computer vision, and reinforcement learning • Knowledge of control systems and robotics is a plus

• Experience With Edge AI Deployment Preferred • Research-oriented mindset with strong analytical skills DESIRED