NLP/ML Engineer - TS/SCI (On-Site) with Java Spring & AWS

Fallstechnology; McLean (VA); On-site; USD 158,000 - 193,000; Full time

Benefits offered by this job

9% retirement contribution

100% of family medical premiums paid

4 weeks of PTO

Job summary

Falls Technology is seeking an on-site AI/ML engineer in McLean, VA to develop NLP capabilities and integrate models into production systems. The role combines Python-based model development with Java/Spring backend work, deploying on AWS and Linux, with a focus on operational usage and security clearance requirements.

Responsibilities include building/serving NLP models, leveraging spaCy, PyTorch/TensorFlow/Keras, and integrating with Java backends and databases.

Qualifications

• Active TS/SCI with Polygraph is required.
• U.S. citizenship is required.
• Strong Python and NLP experience with spaCy, Gensim, or NLTK.
• Experience with PyTorch, TensorFlow, or Keras.
• SQL proficiency.
• Linux, Git, and AWS experience.

Responsibilities

• Develop NLP capabilities using spaCy, Gensim, NLTK, and Hugging Face Transformers.
• Create and integrate deep learning models using PyTorch, TensorFlow, or Keras.
• Build backend services in Java with Spring and Spring Data JPA, backed by Oracle and SQL.
• Deploy solutions on AWS and Linux using Git, Jenkins, and Apache Tomcat.
• Integrate trained models into operational applications and workflows.

Skills

Python

NLP

Tools

spaCy

Gensim

NLTK

Hugging Face Transformers

PyTorch

TensorFlow

Keras

Java

Spring (Framework)

Spring Data JPA

Oracle

SQL

AWS

Linux

Git

Jenkins

Apache Tomcat

Job description

Falls Technology is seeking an on-site AI/ML engineer in McLean, VA to develop NLP capabilities and integrate models into production systems. The role combines Python-based model development with Java/Spring backend work, deploying on AWS and Linux, with a focus on operational usage and security clearance requirements.

Responsibilities include building/serving NLP models, leveraging spaCy, PyTorch/TensorFlow/Keras, and integrating with Java backends and databases.