Senior AI/ML Engineer - IDP & LLMs | Remote

Pantheon-Data; Reston (VA); Sur place; USD 140 000 - 200 000; Plein temps

Résumé du poste

Pantheon Data is seeking a Senior Machine Learning Engineer in Reston, VA with deep experience in NLP, OCR, and LLM-based document understanding. You will design production AI components, build data pipelines for unstructured sources, and deploy services in cloud/container environments, while mentoring peers and collaborating with cross-functional teams.

This role emphasizes building observable, scalable systems that move beyond notebook work, delivering reliable solutions for complex documents

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field from an ABET accredited university.
• 5+ years of hands-on ML/AI/DS engineering experience; plus 5 years in software engineering.
• Experience shipping production ML/AI pipelines, APIs, or services.
• Strong Python engineering skills with readable, maintainable code.
• Hands-on NLP, OCR, CV, LLMs, embeddings, or retrieval techniques.

Responsabilités

• Design and build ML/AI components for IDP and Generative AI systems.
• Build data pipelines for unstructured data (PDFs, forms, tables, images).
• Develop NLP, OCR, CV, and LLM-based approaches for document understanding.
• Create APIs, internal tools, dashboards, validation workflows.
• Deploy and support ML/AI services in cloud or containers.
• Mentor engineers and communicate with stakeholders.

Connaissances

Python

NLP

OCR

LLMs

MLOps

APIs

Cloud

Data pipelines

Debugging

Formation

ABET accredited degree

Bachelor's in CS/Engineering

Outils

PyTorch

TensorFlow

scikit-learn

Hugging Face

Git

Docker

Kubernetes

Description du poste

Pantheon Data is seeking a Senior Machine Learning Engineer in Reston, VA with deep experience in NLP, OCR, and LLM-based document understanding. You will design production AI components, build data pipelines for unstructured sources, and deploy services in cloud/container environments, while mentoring peers and collaborating with cross-functional teams.

This role emphasizes building observable, scalable systems that move beyond notebook work, delivering reliable solutions for complex documents