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Deep Learning Engineer


Skytex Unmanned Aerial Solutions


Location

Bangalore | India


Job description

About Us

SKYTEX is a cutting-edge startup founded in 2016 that is revolutionizing the world of aerial technology with our innovative drone solutions. We are a team of passionate engineers and drone enthusiasts dedicated to pushing the boundaries of what is possible in the field of unmanned aerial vehicles (UAVs). Our portfolio consists of Surveillance and combat drones like high altitude multi-rotor drones as well as high endurance VTOL and fixed wings. At SKYTEX, we believe that drones have the power to transform industries and improve people's lives in countless ways. That's why we are committed to developing drone technology that is smarter, faster, and more versatile than anything that has come before.

We strongly believe that our success depends on our people. That's why we put people first in everything we do. We would grow as a diverse and inclusive organization that values the unique perspectives and contributions of each and every member of our team. Our culture is always evolving, and we believe in being open and honest with our employees, customers, and stakeholders. We encourage our employees to take ownership of their work, to think like entrepreneurs, and to constantly seek out new opportunities for growth and development. By living these values every day, we are creating a culture of excellence, collaboration, and innovation that sets us apart and helps us achieve our goals.

Role Objective

As an AI Engineer at SKYTEX you will be responsible for developing and implementing artificial intelligence and machine learning algorithms to optimize our unmanned aerial vehicle (UAV) systems. You will collaborate with cross-functional teams, including hardware engineers, software developers, and product managers, to design, develop and deploy AI-based solutions that will enhance our UAV's flight performance, safety, and functionality.

Key Responsibilities And Accountabilities

  • Develop AI algorithms to control the behavior of UAV swarms, including path planning, obstacle avoidance, and collaborative tasks.
  • Conduct research on state-of-the-art AI techniques and implement them into the existing system.
  • Work with hardware and software engineers to integrate the AI algorithms into the UAV swarm control system.
  • Optimize algorithms for performance and efficiency.
  • Conduct simulation and field testing to validate the performance of the AI algorithms.
  • Work collaboratively with cross-functional teams to deliver high-quality, reliable solutions on time and within budget.
  • Document and present research findings, technical specifications, and system designs to stakeholders.

Qualifications

  • Bachelor's or master's degree in computer science, Electrical Engineering, or related field.
  • 3+ years of experience in AI development, with a focus on robotics or UAVs.

Skills And Abilities

  • Familiarity with ROS (Robot Operating System) and related tools.
  • Experience with simulation tools, such as Gazebo, V-REP, or Unity.
  • Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.
  • Excellent communication skills, with the ability to present technical concepts to non-technical stakeholders.
  • Strong programming skills in C++ and Python
  • Experience with machine learning frameworks like TensorFlow, PyTorch, cuDNN etc.
  • Knowledge of computer vision, natural language processing, deep learning and reinforcement learning.
  • Experience with simulation tools, such as Gazebo, Airsim, X-Plane, etc.
  • Familiarity with UAVs and their components, such as GPS, sensors, and cameras.
  • Prior experience with UAV Swarm is a plus.
  • Excellent problem-solving and analytical skills.
  • Ability to work collaboratively with cross-functional teams.
  • Strong communication and documentation skills.
  • Experience in developing AI solutions for autonomous systems would be awesome
  • Familiarity with UAV regulations and safety standards would be awesome
  • Experience in developing software for real-time systems would be awesome
  • PhD in Computer Science, Electrical Engineering or related fields would be awesome

Personal Attributes

  • Self-starter with a strong sense of initiative
  • Collaborative team player who enjoys working in a dynamic environment
  • Detail-oriented and able to manage multiple projects simultaneously
  • Passion for drones and unmanned aerial technology

Working Conditions

  • This is a full-time position based in Bangalore that may require occasional evening or weekend work
  • May require travel to customer sites or other company locations

Salary And Benefits

  • Competitive salary based on experience and qualifications
  • Health insurance
  • Paid time off and holidays
  • Opportunities for professional development and growth

Application Process

To apply, please submit a resume and cover letter outlining your qualifications and experience as they relate to this position [HIDDEN TEXT]


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