Tech Stack

Description

You will develop and optimize computer vision algorithms for drone-based applications like object detection, collision avoidance, and real-time tracking. You'll also create data pipelines for training ML models, collaborate with engineers, and integrate models with hardware.

Requirements

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field (PhD is a plus)
• Proven experience with deep learning frameworks like TensorFlow, PyTorch, or equivalent
• Experience with CNN, Object Detectors and Tracking
• Strong proficiency in Python and C++
• Experience with OpenCV or other computer vision libraries
• Familiarity with cloud platforms and deploying CV models in real-world aerial scenarios
• Hands-on attitude and strong sense of ownership
• Systematic approach to complex problems with documented results
• Team player

Responsibilities

• Design and implement computer vision algorithms for drone-based applications such as object detection, collision avoidance, and real-time tracking
• Create streamlined pipelines for data collection, training, and validation of machine learning models
• Collaborate with machine learning engineers to refine and optimize models for aerial scenarios
• Partner with the hardware team to ensure seamless integration of computer vision models with drone systems
• Stay updated on the latest advancements in computer vision technologies and research, especially aerial applications
• Participate in code reviews, maintain documentation, and contribute to team discussions