Airteam is a Berlin-based SaaS startup with an AI-powered cloud platform for roofers and solar planners.
Du arbeitest gemeinsam mit uns an Projekten für Kunden aus dem Gesundheitswesen, zum Beispiel: Analysen und ML-Modelle auf echten Versorgung
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Berlin • Cybersecurity & AI Startup • Recently Funded A newly funded cybersecurity startup in Berlin is looking for a Backend Engineer(Go) t
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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, GitKubernetes, 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
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!
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
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Zur Originalanzeige204 geprüfte Stellen bei 134 Arbeitgebern, 24 davon ortsunabhängig. 82 in der KI-Entwicklung, 62 in Integration & Automatisierung.