Artificial Intelligence

Technical requirements

1. Machine Learning Fundamentals: Understanding of basic machine learning concepts such as supervised learning, unsupervised learning, and reinforcement learning.
2. Deep Learning: Proficiency in deep learning frameworks like TensorFlow or PyTorch for developing neural network models.
3. Computer Vision: Knowledge of computer vision techniques for tasks such as object detection, segmentation, and tracking in robotic applications.
4. Natural Language Processing (NLP): Familiarity with NLP algorithms and libraries for enabling human-robot interaction and understanding of natural language commands.
5. Reinforcement Learning: Experience with reinforcement learning algorithms and their application in training autonomous robotic agents.
6. Robotics Simulation: Ability to develop simulations for training and testing AI algorithms in virtual environments like Gazebo or Unity.
7. ROS (Robot Operating System): Understanding of ROS for integration with robotic systems and development of AI-driven behaviors.

Hiring Process

1. Send an email to info@aerovistadynamics.com
2. Mention the type of employment you are seeking (such as apprenticeships, internships, part-time or full-time) and your preferred area
3. Attach your CV and a brief description of what you can bring to the table (must be readable under two minutes)
4. If possible, provide evidence of any impactful work you have done
5. We will respond within a week and schedule a call if we are interested.

Eternal Attributes

1. Self-motivated and tech-savvy individual with a passion for learning.
2. Possesses real-world experience that surpasses conventional educational qualifications.
3. Independent thinker, creative and tinkerer by nature

Working Atmospere

1. We endorse a flexible asynchronous working style that allows you to choose your own working schedule, deadlines, and location.
2. Performance evaluation is based on output delivered, not on time spent at work.
3. Prioritization of clear and direct communication; no middle managers within the team.

Compensation Structure Options

Value-for-Value Program:
1. Offer value to the team and receive value in return.
2. Receive experiential learning opportunities and connections, along with a small stipend to cover expenses.
3. Move up to the next level when you feel ready to take on projects.
   
   
Bounty Hunter Contract
4. Paid based on timely completion of projects
5. Compensation based on making real progress that drives the company forward
   
   
Long-term Core Team
6. Full-time position with equity options
7. Negotiable remuneration above market average
8. Requires good synergy with the team and working style