0–3 years of experience in computer vision or ML projects

Basic understanding of machine learning and image processing workflows

Exposure to dataset curation, augmentation, and preprocessing

Familiarity with UAV perception systems is a plus

Innovation: Interest in UAV autonomy, object detection, and real-time vision systems

Growth Potential: Willingness to learn advanced CV concepts (SLAM, visual odometry, edge deployment)

Collaboration: Ability to work closely with AI/ML engineers, avionics teams, and QA groups

Compliance Awareness: Exposure to aerospace data handling and certification requirements

• Programming: Python
• CV Tools: OpenCV
• ML Frameworks: PyTorch
• Documentation: MS Office

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

• Data Preparation
  • Perform data annotation and dataset curation
  • Conduct dataset augmentation and preprocessing
• Camera Calibration
  • Execute camera calibration (intrinsics/extrinsics)
  • Support calibration workflows for UAV vision systems
• Model Training & Benchmarking
  • Train and benchmark models using PyTorch/TensorFlow
  • Assist in algorithm unit testing and validation
• Image Processing Pipelines
  • Develop image processing pipelines using OpenCV
  • Perform image filtering, transformations, and feature extraction
• Testing & Validation
  • Support Hardware-in-the-Loop (HIL) testing for CV systems
  • Document algorithms, workflows, and model performance
• Automation & Documentation
  • Write basic scripts for automation using Python
  • Maintain logs, reports, and integration documentation