Airteam Aerial Intelligence
Airteam Aerial Intelligence
11 – 50 Darbinieki
B2BBūvniecībaSaaS
Airteam Aerial Intelligence apvieno dronu tehnoloģijas, mākslīgo intelektu un mākoņprogrammatūru, lai palīdzētu būvniecības nozares profesionāļiem izveidot precīzus ēku 3D mērījumus un modeļus. Platforma pārvērš dronu uzņemtos attēlus sertificētos, eksportējamos mērījumu datos ar centimetru precizitāti, kas izmantojami tādos rīkos kā PV Sol, SketchUp un AutoCAD. Jumiķi, saules enerģijas sistēmu uzstādītāji, galdnieki, sastatņu montieri un mājokļu nozares speciālisti var veikt lidojumus paši vai pasūtīt mērījumu pakalpojumus pie Airteam pilotiem, tādējādi veicinot ātrāku un drošāku būvniecības un atjaunīgās enerģijas projektu plānošanu.

Computer Vision Engineer, Berlin (Hybrid)

Develop drone-based 2D-to-3D detection and reconstruction for Airteam Aerial Intelligence’s AI SaaS platform. Create machine learning pipelines that support roofing and solar-planning workflows.

Apraksts

  • Design and implement computer vision methods for detecting 2D-to-3D objects in drone imagery
  • Collaborate with engineering teams to integrate machine learning models into the product
  • Develop complete machine learning pipelines with GCP, Python, Argo, PyTorch, and MLflow
  • Manage data preparation, model training, deployment, and production monitoring
  • Present technical findings clearly to internal and external stakeholders

Prasības

  • Two to four years of professional experience in data science or machine learning, including computer vision and deep learning
  • Practical experience spanning the full machine learning lifecycle, from preprocessing and training through evaluation, deployment, and monitoring, using Conda, MLflow, or comparable tools
  • Strong software engineering ability with Python, Git or GitHub, Docker or Kubernetes, and cloud platforms
  • Effective problem-solving, communication, and collaboration skills, along with the ability to learn unfamiliar tools quickly
  • Fluent written and spoken English
  • German language skills are advantageous but not required
  • Industry experience in construction or a related field is beneficial
  • Familiarity with GCP, Vertex AI, PyTorch, Conda, MLflow, GitHub, and Argo Workflows is beneficial
  • Experience developing and maintaining machine learning pipelines is beneficial
  • A practical, goal-focused approach and willingness to take initiative are beneficial

Priekšrocības

  • Hybrid work, workations, and contract-based remote work options
  • Contemporary workspace in central Berlin
  • Employer contribution of 30% toward pension savings
  • Recurring team events and workshops
  • Flat organizational structure, direct communication, and space to develop your own ideas

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