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