Intern - AI Systems

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.

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