ForGood
P
PATH

AI Engineer

LocationRemote/Global (willingness to travel)
SetupRemote
LevelSenior
Posted27m ago
Engineering & Technology

Quick answer

PATH is hiring an AI Engineer to develop and optimize computer vision and Vision-Language Model pipelines for the SnapiForm platform, with a willingness to travel as needed.

Role
AI Engineer
Organization
PATH
Location
Remote/Global (willingness to travel)
Work setup
Remote
Level
Senior
Category
Engineering & Technology

The role

PATH is seeking an AI Engineer to scale SnapiForm, an AI-powered platform for digitizing health records. The role involves developing and optimizing computer vision and Vision-Language Model pipelines for handwriting recognition and data parsing. The engineer will work on building scalable, cost-efficient systems for low-resource settings.

What you'll do

  • Design and optimize AI pipelines for complex document understanding and data extraction.
  • Research, benchmark, and fine-tune state-of-the-art Vision-Language models and OCR models.
  • Architect and deploy production-grade inference pipelines using vLLM or similar engines.
  • Develop strategies for image chunking, tiling, and preprocessing to optimize model performance.
  • Evaluate and provision optimal cloud and on-prem GPU infrastructure for high volume processing.
  • Lay the technical groundwork for future iterations including offline/edge processing.

What it takes

  • B.S. or M.S. in Computer Science, AI, Machine Learning, or a related field.
  • 7+ years of experience in Machine Learning Engineering with 1-2 years in CV or Document AI.
  • Deep expertise in PyTorch and the Hugging Face ecosystem.
  • Hands-on production-level experience deploying models using vLLM.
  • Proficiency in computer vision libraries like OpenCV and Pillow.
  • Strong experience with Docker, Kubernetes, and cloud GPU provisioning.

What you'll bring

Machine Learning EngineeringComputer VisionDocument AIVision-Language ModelsPyTorchHugging Face

How we treat you

Competitive compensation and flexible working arrangements.

Frequently asked questions

Where is the job located?

The role allows for flexible working arrangements and requires a willingness to travel to PATH countries as needed.

What is the compensation for this position?

The compensation is not explicitly stated in the posting, but it is described as competitive.

What are the key qualifications required?

Candidates should have 7+ years of experience in Machine Learning Engineering and expertise in Py1Torch, Hugging Face, and vLLM.

When or by when should I apply?

The application deadline is not specified in the job posting.

How to apply

Apply directly on PATH's site. We link straight through — no resume parsing, no profile to fill out.

Apply now →

This listing is aggregated from a third-party source and its summary may be auto-generated, so details can be inaccurate or out of date. ForGood is not the employer and is not liable for the content — please verify everything on PATH's official posting before applying.