HC
Solutions
About the Role
🌟 Role Summary: We're looking for a hands-on ML Engineer to build production-grade AI systems that extract structured information from documents, drawings, PDFs, and unstructured data sources.This is not a research role. We're looking for someone who has personally trained, deployed, and maintained real-world ML systems used by customers in production.
💡 What You’ll Work On:
- Design and deploy document understanding pipelines for PDFs, drawings, forms, and other unstructured documents.
- Train and optimize models such as Donut, LayoutLM, TrOCR, or similar document AI architectures.
- Build multi-stage AI workflows combining OCR, computer vision, and LLM-based reasoning.
- Develop object detection and extraction models for identifying regions of interest, annotations, tables, labels, and document elements.
- Convert extracted information into structured outputs with confidence scoring and traceability.
- Build evaluation frameworks, monitoring, and retraining workflows.
- Collaborate closely with engineering and product teams to ship AI features into production.
Requirements
🔧 Must‑Have Qualifications:
✅ 3+ years of professional ML Engineering experience
✅ Production experience with Document Understanding solutions
✅ Hands-on experience training or deploying models such as: Donut, LayoutLM, TrOCR, OCR/document , extraction architectures, Equivalent multimodal document AI models
✅ Experience building end-to-end document processing pipelines: OCR, Information extraction, Document classification, Structured data extraction, LLM-based document workflows
✅ Strong Python skills and experience with: PyTorch, Transformers, OpenCV, Hugging Face ecosystem
✅ Experience with cloud platforms: AWS, Azure, GCP
✅ Docker and containerized deployment experience
✅ Strong English communication skills
Nice to have:
⭐ Experience with architectural drawings, engineering plans, construction documents, or technical schematics
⭐ Experience with annotation tools such as: CVAT, Label Studio and Roboflow
⭐ Experience building agentic AI or multi-step LLM pipelines
⭐ Knowledge of PDF rendering, OCR engines, coordinate systems, and document processing frameworks
⭐ Startup or SaaS experience
About the Company
Company: FieldFlo, USA. Industry: Construction • Environmental Services • Demolition • SaaS • FieldFlo is a fast‑growing, mobile‑first SaaS platform built for the construction, demolition, and environmental services industries. Teams across the U.S. rely on us daily for compliance, safety, time tracking, training, and seamless field operations. We’re backed by industry veterans and growing fast — this is your chance to directly influence a platform that keeps workers safe and projects running smoothly.
📣 Recruitment Process
- Initial call with Recruiting Agency HC Solutions
- Technical panel interview (Senior Engineer + Tech Lead)
- Interview with AI Labs team
- Final interview with VP Engineering & CTO