0–3 years of experience in AI/ML engineering (freshers with strong ML projects encouraged)

Basic understanding of machine learning concepts and workflows

Exposure to sensor data (GPS, IMU, camera) and preprocessing techniques

Familiarity with model validation, benchmarking, and performance monitoring

Innovation: Interest in UAV autonomy, computer vision, and reinforcement learning

Growth Potential: Willingness to learn advanced ML concepts (deep learning, edge AI, federated learning)

Collaboration: Ability to work closely with data scientists, avionics engineers, and software teams

Compliance Awareness: Exposure to aerospace data handling and certification requirements

• Programming: Python
• ML Frameworks: TensorFlow, PyTorch
• Version Control: Git
• Data Handling: MS Excel

Bachelor’s / Master’s in Computer Science / AI / Robotics

• Data Collection & Preprocessing
  • Collect and preprocess sensor data (GPS, IMU, camera)
  • Assist in dataset preparation, cleaning, and augmentation
• Model Validation & Benchmarking
  • Support model validation and benchmarking against performance metrics
  • Monitor model accuracy and efficiency across test datasets
• Algorithm Testing & Debugging
  • Assist in AI/ML algorithm testing and debugging
  • Write basic Python scripts for automation and validation
• Documentation
  • Document algorithms, workflows, and model performance results
  • Maintain records for reproducibility and compliance