Air Sim and Reinforced Learning

I am looking for someone to help us design an air simulation and reinforced learning algorithm for an outdoor environment. We want to use reinforced learning because it is a powerful way of training machines to master complex tasks by trial and error. We need someone to help us design the simulations, as we do not have the necessary expertise to do that ourselves. The outdoor environment should be accurately simulated in order to produce accurate results. The simulation must be able to recreate realistic scenarios and take into account various parameters such as wind direction, temperature, terrain, and others. The reinforced learning algorithm should be able to evaluate and accurately modify the effects of our aircraft's behavior based on the outcomes.
Will need skills in Airsim, python, opencv and YOLO

Here is an example of what we are basically looking at
https://github.com/AmirPliev/Drone-Follow-Me