Computer Vision Engineer | Berlin, Hybrid at Airteam Aerial Intelligence

Airteam is a Berlin-based SaaS startup with an AI-powered cloud platform for roofers and solar planners. As a mid-level Computer Vision Engineer, you'll build 2D-to-3D object detection and automatic geometry reconstruction from drone data. Your work helps roofers and solar planners make informed decisions and drives a climate-neutral product.

Tasks

• Develop and implement computer vision algorithms for 2D-to-3D object detection using drone data


• Integrate ML models into our platform together with the engineering teams


• Build end-to-end ML pipelines with GCP, Python, Argo, PyTorch and MLflow


• Implement data preprocessing, model training, deployment and monitoring


• Visualize and communicate findings to stakeholders

Requirements

• 2-4 years of commercial experience in data science/ML, including Computer Vision and Deep Learning


• Experience across the full ML lifecycle (preprocessing, training, evaluation, deployment, monitoring), incl. conda and MLflow or comparable tools


• Solid software engineering skills: Python, Git/GitHub, Docker/Kubernetes, cloud platforms


• Strong problem-solving, communication and teamwork skills, plus a willingness to learn new tools quickly


• Fluent English (written and spoken), as our team works internationally (German is a plus, but not required)

Nice-to-have

• Experience in construction or a related industry


• Experience with our stack: GCP, Vertex AI, PyTorch, Conda, MLflow, GitHub, Argo Workflows


• Experience building and maintaining ML pipelines


• A goal-oriented, "just do it" mentality

Benefits

• Hybrid work, workations, and remote work by contract


• Modern working space in the heart of Berlin


• 30% contribution towards your pension savings


• Regular team events and workshops


• Flat hierarchies, short communication channels, room for your own ideas

Join Airteam in Berlin to revolutionize drone data with AI! As a Computer Vision Engineer, blend tech innovation with creativity in a dynamic, hybrid work setting. Apply now!