Airteam Aerial Intelligence

Computer Vision Engineer (m/f/d) | Berlin, Hybrid

Stellenbeschreibung:

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
  • 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 pipelinesA 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.

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Stelleninformationen

  • Veröffentlichungsdatum:

    31 Okt 2026
  • Standort:

    Berlin
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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