Fieldwire by Hilti
Fieldwire by Hilti
Fieldwire by Hilti izstrādā būvlaukumu pārvaldības programmatūru ģenerāluzņēmējiem un specializētajiem darbuzņēmējiem, īpašniekiem, arhitektiem, projektētājiem, darbu vadītājiem un projektu vadītājiem. Tās platforma apvieno būvlaukuma koordinēšanu vienuviet un nodrošina rīkus uzdevumu piešķiršanai, grafiku pārvaldībai, rasējumu un dokumentu kopīgošanai, paveikto darbu reģistrēšanai un projekta jaunākās informācijas sniegšanai reāllaikā. Integrācijas un piekļuve no dažādām ierīcēm palīdz komandām uzturēt aktuālu informāciju no būvlaukuma līdz projekta birojam. Kā Hilti Construction Software daļa Fieldwire atbalsta projektus no mazākiem būvdarbiem līdz plaša mēroga būvniecības programmām un tiek izmantota būvniecības nozarē pārskatu sagatavošanai, dokumentu pārvaldībai un ikdienas projektu koordinēšanai.

Mid-Level AI and Machine Learning Engineer

Build computer vision and document intelligence features for Fieldwire’s construction management platform. Deploy machine learning models that serve millions of users.

Apraksts

  • Build and maintain full-stack AI foundations, integrating them into core platform capabilities.
  • Assess open-source models and adapt them to domain-specific needs through fine-tuning, transfer learning, and lightweight training.
  • Deploy and run models in Fieldwire’s infrastructure, including GPU-backed environments.
  • Improve inference speed, resource use, throughput, and latency.
  • Create image-understanding solutions for object detection, classification, and segmentation.
  • Extract and interpret information from PDFs, scans, images, and other complex visual content using OCR, document layout analysis, and multimodal models.
  • Use AI and computer vision to bring relevant, context-aware information into user workflows.
  • Troubleshoot production issues across services and stack layers.
  • Strengthen engineering standards, tools, and processes.

Prasības

  • Bachelor’s or master’s degree in computer science, or equivalent professional experience.
  • At least three years of experience in full-stack, backend, AI engineering, or machine learning roles.
  • Practical machine learning experience training, evaluating, and deploying models.
  • Hands-on experience with computer vision and image processing.
  • Familiarity with modern tools for building high-quality applications.
  • Strong ability to write clean, well-tested, modular code.
  • Experience adapting pretrained models to domain-specific tasks using fine-tuning and transfer learning.
  • Understanding of modern model architectures, including transformers and vision-language models.
  • Experience processing images and documents, including OCR, document layout analysis, or extracting structured information from PDFs and images.
  • Experience building production systems, preferably with Rust, Ruby on Rails, or Angular.

Priekšrocības

  • Eligible for a corporate bonus of up to 30%.
  • Equal employment opportunity regardless of protected characteristics.

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