Computer Vision Developer

Dubai, UAE . Full Time

We are seeking individual experts within the robotics field to join our growing family to leave an impact in sustainable deliveries through innovative solutions.

Who we are

At Peyk, we are changing the last-mile delivery by deploying robotics as an alternative to tradtional delivery fleet. We believe that the future will be powered by clean and effective technological solutions, and we are committed to providing low or no-cost delivery services to everyone. We are a dynamic, fast-paced organisation that values collaboration, creativity and innovation.

Working with us

We are excited to welcome the next generation of tech talent to our team. In this role, you will play a vital role in designing, developing and maintaining our cutting edge robotic delivery systems. You won't just work on projects, you'll take the lead on larger, more complex endeavours. You'll also have the opportunity to mentor and oversee junior engineers, sharing you valuable expertise. Your role may require interfacing with clients, attending mutual meetings, and representing our engineering team in cross-functional collaborations.

• Apply by :
  
  

30 September 2024

• benefits: Working in a fast growing company You can truly make a significant impact by improving the product Small team with direct contact of company seniors making it easy to adapt grow Competitive salaries, KPI based bonuses, awards and other benefits
• need_have: Bachelor's, Master's, or PhD degree in Computer Science, Vision & Perception, Robotics, or a related field. Proven experience in computer vision projects and teams, with a strong portfolio of successful deployments. Minimum of 4 years of working experience in computer vision, machine learning, or a related field. Deep understanding of computer vision algorithms, including object detection, tracking, segmentation, and SLAM. Proficiency in programming languages such as Python, and C++, and experience with relevant libraries (e.g., OpenCV, TensorFlow, PyTorch). Experience with Docker Hands-on experience with deep learning training on GPUs Experience with ROS is a plus. Experience in training multi-modal architectures is a plus. Experience with automating CI/CD pipelines is a plus. Experience with embedded systems, particularly in robotics or automotive applications is a plus. Knowledge of inference engines and optimization methods Excellent communication skills.
• about_role: Design, development, and optimisation of computer vision algorithms for object detection, tracking, segmentation, etc. Develop high-performance and scalable computer vision and perception algorithms. Review developer's code in the team to ensure the highest code quality. Collaborate with cross-functional teams, including robotics and cloud software teams to define requirements and deliver high-quality solutions. Mentor and guide a team of computer vision engineers. Stay up-to-date with the latest technologies in computer vision and machine learning, and apply this knowledge to improve our technology stack. Work closely with the robotic software team to integrate vision systems into the robots. Ensure the scalability and robustness of the computer vision solutions in real-world scenarios.
• working_benefit: We are excited to welcome the next generation of tech talent to our team. In this role, you will play a vital role in designing, developing and maintaining our cutting edge robotic delivery systems. You won't just work on projects, you'll take the lead on larger, more complex endeavours. You'll also have the opportunity to mentor and oversee junior engineers, sharing you valuable expertise. Your role may require interfacing with clients, attending mutual meetings, and representing our engineering team in cross-functional collaborations.
• about_us: At Peyk, we are changing the last-mile delivery by deploying robotics as an alternative to tradtional delivery fleet. We believe that the future will be powered by clean and effective technological solutions, and we are committed to providing low or no-cost delivery services to everyone. We are a dynamic, fast-paced organisation that values collaboration, creativity and innovation.
• expire_date: 2024-09-30
• classification: Software Development
• work_type: Full Time
• address: Dubai, UAE
• Location
  
  

Dubai, UAE

• Work Type
  
  

Full Time

• Classification
  
  

Software Development

About The Role And Its Responsibilities

• Design, development, and optimisation of computer vision algorithms for object detection, tracking, segmentation, etc.
• Develop high-performance and scalable computer vision and perception algorithms.
• Review developer's code in the team to ensure the highest code quality.
• Collaborate with cross-functional teams, including robotics and cloud software teams to define requirements and deliver high-quality solutions.
• Mentor and guide a team of computer vision engineers.
• Stay up-to-date with the latest technologies in computer vision and machine learning, and apply this knowledge to improve our technology stack.
• Work closely with the robotic software team to integrate vision systems into the robots.
• Ensure the scalability and robustness of the computer vision solutions in real-world scenarios.
  
  

Benefits

• Working in a fast growing company
• You can truly make a significant impact by improving the product
• Small team with direct contact of company seniors making it easy to adapt grow
• Competitive salaries, KPI based bonuses, awards and other benefits
  
  

You will need to have

• Bachelor's, Master's, or PhD degree in Computer Science, Vision & Perception, Robotics, or a related field.
• Proven experience in computer vision projects and teams, with a strong portfolio of successful deployments.
• Minimum of 4 years of working experience in computer vision, machine learning, or a related field.
• Deep understanding of computer vision algorithms, including object detection, tracking, segmentation, and SLAM.
• Proficiency in programming languages such as Python, and C++, and experience with relevant libraries (e.g., OpenCV, TensorFlow, PyTorch).
• Experience with Docker
• Hands-on experience with deep learning training on GPUs
• Experience with ROS is a plus.
• Experience in training multi-modal architectures is a plus.
• Experience with automating CI/CD pipelines is a plus.
• Experience with embedded systems, particularly in robotics or automotive applications is a plus.
• Knowledge of inference engines and optimization methods
• Excellent communication skills.
  
  

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