About the project:
The position opened to a client-partner company that specializes in advanced navigational systems for UAV operations. They focus on developing robust solutions that enhance autonomy and reliability, facilitating operations in environments where traditional GPS may fail.
The client is developing a satellite image processing algorithm for reliable operation in GPS-unstable environments and a navigational algorithm for autonomous return and holding in GPS-denied areas. To establish the location, the first algorithm correlates real-time optical data from UAV-mounted cameras with pre-existing satellite imagery. The second algorithm captures frequent images to create a detailed visual path, enabling UAVs to retrace their flight or maintain precise positions autonomously.
Technologies are designed to be integrated across various platforms, delivering precision, resilience, and cost-effective enhancements to existing hardware.
Must have skills:
- At least 4 years of commercial experience as a Data Scientist
- Strong knowledge of linear algebra, calculus, statistics, and probability theory
- Knowledge and experience with algorithms and data structures
- Expertise in Computer Vision and Machine Learning
- Strong experience with modern Neural Networks architectures (DNN, CNN, LSTM, etc.)
- Experience with at least one of the Deep Learning frameworks (Tensorflow, PyTorch)
- Strong knowledge of OOP
Nice to have skills:
- Experience with production ML/DL frameworks (OpenVino, TensorRT, etc.)
- Docker practical experience
- Experience with Cloud Computing Platforms (AWS, GCloud, Azure)
- Participation in Kaggle competitions
Your tasks will include:
- Development and improvement of computer vision algorithms for robotic perception
- Solve 3D robot positioning problem with 2D camera footage
- Deployment of a neural network to the embedded device and profiling its performance
- Working with simulation environment AirSim/Gazebo
Benefits:
- Developing cutting-edge software solutions to tackle genuine real-world challenges
- Collaborating with experienced professionals who share a common goal
- Working remotely with flexible working hours
- Paid vacation and sick leave days