(Mid) Fullstack Data Scientist (f/m/d)

at  AIRTEAM Aerial Intelligence GmbH

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 Fullstack Data Scientist 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!
Tasks

Requirements

• 3-4 years of hands-on 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

• Develop and implement computer vision algorithms for 2D to 3D object detection using data from flying drones.
• Collaborate with our drone technology team to integrate machine learning models into the drone platform.
• Collaborate with cross-functional teams to define and solve data-driven business challenges.
• Build end-to-end machine learning pipelines using the GCP ecosystem, Python, Argo, PyTorch, MLflow, and other relevant technologies.
• Implement data preprocessing, model training, deployment, and monitoring.
• Visualize and communicate your findings to stakeholders to inform decision-making.

Requirements

• 3-4 years of hands-on 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.