Airteam Aerial Intelligence GmbH
Airteam Aerial Intelligence GmbH

Computer Vision Engineer (f/m/d)

Remote (Germany)
Project Management

Do you want to join an innovative startup in the German construction and solar industry? Airteam, a SaaS startup, offers an AI-powered data processing cloud platform for roofers and solar planners. We're looking for a talented mid-level Computer Vision Engineer to be part of our dynamic team. You'll work on cutting-edge projects in computer vision, drone-based 2D to 3D object detection, and automatic geometry reconstruction. Help co-create a digital, climate-neutral product that assists roofers and solar planners in making informed decisions and shape the future of construction technology with us!


  • Recent Funding: We're excited to announce our latest round of funding, ensuring our stability and growth.
  • Impressive Scale: We process roughly 1,500 projects a month, serving a wide range of customers, including renowned names. (check out our website)
  • Award-Winning Innovation: Our commitment to innovation has been recognized with prestigious awards in 2023, PV magazine and 2024.
  • Comprehensive Benefits Package: Enjoy perks such as fully paid Urban Sports membership, company pension plan, self development budget, and Lunchit vouchers.
  • Remote Work Flexibility: We understand the importance of work-life balance and offer the possibility to work remotely by contract.


As a Computer Vision Engineer, you will be at the forefront of our technological advancements, working on a variety of exciting tasks and projects:

  • Computer Vision Algorithms: Develop and implement computer vision algorithms for 2D to 3D object detection using data from flying drones.
  • Technology Integration: Collaborate with our engineering teams to integrate machine learning models into our platform.
  • Cross-Functional Collaboration: Work under the supervision of the Head of Machine Learning in a cross-functional team composed of another Machine Learning Engineer, Backend Engineer and dedicated Product Manager to solve business challenges with data driven solutions.
  • End-to-End ML Pipelines: Build end-to-end machine learning pipelines using the GCP ecosystem, Python, Argo, PyTorch, MLflow, and other relevant technologies.
  • Data Processing & Model Deployment: Implement data preprocessing, model training, deployment, and monitoring.Stakeholder Communication: Visualize and communicate your findings to stakeholders to inform decision-making.



  • 3-4 years of commercial experience in data science and machine learning, including exposure to Computer Vision and Deep Learning models.
  • Proven ability to work across the entire machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, deployment, and ongoing monitoring. In particular, experience with conda environments and MLflow or comparable technologies.
  • Experience in software engineering, including proficiency in Python, Git/Github, and understanding of containerization technologies (e.g. Docker and Kubernetes) and cloud-based platforms.
  • Strong problem-solving skills and a track record of delivering data-driven insights.
  • Strong communication and teamwork abilities.
  • Open to new challenges and tasks that may require learning new tools or techniques. Your ability to quickly acquire new skills will be a valuable asset to our team.

Nice to Have:

  • Previous experience in the construction or related industry.
  • Just do it and goal oriented mentality
  • Experience with the technologies of our techstack: GCP, VertexAI, Pytorch, Conda, Mlflow, Github, and Argoworkflows.
  • Proven ability to build, deploy, and maintain machine learning pipelines and workflows.

Just send us your CV or the link to your Linkedin profile and our lovely Hazal from People & Culture will get in touch with you.

Updated: 4 hours ago
Job ID: 11839867
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Airteam Aerial Intelligence GmbH

11-50 employees
Technology, Information and Internet

Airteam ist eine durch KI-gestützte Software um Drohnendaten in CAD Modelle umzuwandeln.


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  1. Computer Vision Engineer (f/m/d)