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Airteam Aerial Intelligence
Airteam Aerial Intelligence
11 – 50 Angajați
B2BConstrucțiiSaaS
Airteam Aerial Intelligence combină tehnologia dronelor, inteligența artificială și software-ul cloud pentru a ajuta profesioniștii din construcții să creeze măsurători și modele 3D precise ale clădirilor. Platforma sa transformă imaginile realizate cu drone în măsurători certificate și exportabile, cu o precizie de ordinul centimetrilor, pentru fluxuri de lucru în instrumente precum PV Sol, SketchUp și AutoCAD. Montatorii de acoperișuri, instalatorii de sisteme solare, tâmplarii, specialiștii în schele și profesioniștii din domeniul locuințelor își pot efectua singuri zborurile sau pot programa servicii de măsurare prin intermediul piloților Airteam, sprijinind planificarea mai rapidă și mai sigură a proiectelor de construcții și energie regenerabilă.
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Locurile de muncă ale companiei

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.

DEGermania
60.000 € – 85.000 € / an
HibridNormă întreagăJuniorNivel mediuNu este necesară o diplomăLimbă Obligatorie: englezăInginer de învățare automatăInginer în viziune computerizată
CloudDockerGoogle Cloud PlatformKubernetesPythonPyTorch

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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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