Full Stack Data Scientist - Computer Vision

Airteamaerialintelligence — Germany · Posted ~2 hours ago

Mid Full-time Hybrid

Skills

Python Computer Vision Deep Learning Machine Learning ML pipelines PyTorch MLflow GCP Argo

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Summary ✨ AI‑Generated

A mid-level data science role focused on developing computer vision systems and end-to-end machine learning pipelines. The position combines algorithm development, model deployment, data processing, and collaboration with engineering teams to solve real-world challenges.

Highlights

Work on advanced AI solutions, full machine learning lifecycle ownership, and interdisciplinary projects with modern cloud and ML technologies.

Description

Airteam is a fast-growing Berlin startup in the German construction industry. As a mid-level Fullstack Data Scientist in our Machine Learning and Insights team, you'll work on computer vision, drone-based 2D-to-3D object detection and automatic geometry reconstruction, and help shape the future of construction technology. Tasks Develop and implement computer vision algorithms for 2D-to-3D object detection using drone data Integrate ML models into the drone platform together with our drone technology team Define and solve data-driven business challenges in cross-functional 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 3-4 years of hands-on experience in data science/ML, including Computer Vision and Deep Learning Experience across the full ML lifecycle, 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 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 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 Want to shape the future of construction tech with us? Send us your CV and be part of an innovative, growing tech start-up.