Computer Vision Engineer fmd

Do you want to join an innovative startup in the German construction and solar industry Airteam a SaaS startup offers an AIpowered data processing cloud platform for roofers and solar planners. Were looking for a talented midlevel Computer Vision Engineer to be part of our dynamic team. Youll work on cuttingedge projects in computer vision dronebased 2D to 3D object detection and automatic geometry reconstruction. Help cocreate a digital climateneutral product that assists roofers and solar planners in making informed decisions and shape the future of construction technology with us!

Why AIRTEAM

• Recent Funding: Were excited to announce our latest round of funding ensuring our stability and growth.
• Impressive Scale: We process roughly 1500 projects a month serving a wide range of customers including renowned names. (check out our website)
• AwardWinning 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 worklife balance and offer the possibility to work remotely by contract.

Tasks

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.
• CrossFunctional Collaboration: Work under the supervision of the Head of Machine Learning in a crossfunctional team composed of another Machine Learning Engineer Backend Engineer and dedicated Product Manager to solve business challenges with data driven solutions.
• EndtoEnd ML Pipelines: Build endtoend 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 decisionmaking.

Requirements

Requirements:

• 34 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 cloudbased platforms.
• Strong problemsolving skills and a track record of delivering datadriven 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.