Machine Learning Architect

2 days ago


Copenhagen, Copenhagen, Denmark Boyum IT Solutions Full time
About Us

Paperflow, developed by Boyum IT Solutions, utilizes advanced AI to process invoices, credit notes, and receipts by integrating extracted data into ERP systems and workflows. This innovative approach reduces manual labor and boosts operational efficiency for businesses worldwide.

Job Description

We're seeking a Machine Learning Engineer with production-level systems expertise to optimize and scale our document processing engine. Key responsibilities include building data pipelines, managing end-to-end ML (training, evaluation, optimization, deployment) on cloud platforms, and collaborating with ML and software engineers as well as product managers to deliver production-ready solutions.

  • Enhance and maintain our Python-based document processing engine using neural networks, heuristic rules, and post-processing.
  • Design and optimize Dagster pipelines to produce high-quality training and evaluation datasets.
  • Build ML training pipelines in Azure ML using PyTorch and Hugging Face Transformers.
  • Integrate third-party OCR and document processing solutions to expand capabilities.
  • Develop evaluation frameworks for tasks like NER, classification, similarity detection, and semantic search.
  • Deploy and scale models with Triton Inference Server and Azure ML.
  • Implement CI/CD via Azure DevOps for testing, format checks, and deployment.
  • Contribute to infrastructure using Kubernetes, Helm, and Bicep.


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