Data Scientist / Software Engineer (NLP & Java) - Expert | TS/SCI w/ Poly

Reads like a ML Engineer role: putting models into production.

McLean, Virginia, United States

Pay: Pay not listedSimilar roles state $165K–$240K
Work setting: On-site — work setting source
Active TS/SCI with Polygraph required. U.S. citizenship required. Location: On-site in McLean, VA (Full-Time). Bridge data science and production software. You'll build NLP and machine learning capabilities in Python and ship them inside Java/Spring applications on AWS for a federal national-security mission.
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Employment: Full-time — employment source
Employment type in the employer’s posting: Full-Time
From the employer’s posting

Apply at Falls Technology

What you’ll work on

Full posting

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

From the employer’s posting

Build NLP capabilities with spaCy, Gensim, NLTK and Hugging Face Transformers

Develop and integrate deep learning models in PyTorch, TensorFlow or Keras

Build backend services in Java, Spring and Spring Data JPA on Oracle/SQL

Deploy on AWS and Linux with Git, Jenkins and Apache Tomcat

Integrate models into operational applications and workflows

What you’ll bring

All qualifications

Core experience

Active TS/SCI with Polygraph clearance
U.S. citizenship
Strong Python and NLP experience (spaCy, Gensim or NLTK)
PyTorch, TensorFlow or Keras
SQL, Linux, Git and AWS

Qualification wording

Active TS/SCI with Polygraph required.

U.S. citizenship required.

Strong Python and NLP experience (spaCy, Gensim or NLTK)

PyTorch, TensorFlow or Keras

SQL

Tools in this posting

Java
Python
SQL
AWS
Hugging Face
Keras
PyTorch
TensorFlow
Transformers

Source

Location: On-site in McLean, VA (Full-Time). Bridge data science and production software. You'll build NLP and machine learning capabilities in Python and ship them inside Java/Spring applications on AWS for a federal national-security mission. What you'll do

- - Develop and integrate deep learning models in PyTorch, TensorFlow or Keras - - Build backend services in Java, Spring and Spring Data JPA on Oracle/SQL - - Deploy on AWS and Linux with Git, Jenkins and Apache Tomcat

Nice to have - Strong Java: Spring, Spring Data JPA, multithreading, JVM tuning - - Maven/Gradle, Jenkins CI/CD, Oracle, Tomcat

- Active TS/SCI with Polygraph - - Strong Python and NLP experience (spaCy, Gensim or NLTK) - - PyTorch, TensorFlow or Keras

- - PyTorch, TensorFlow or Keras - - SQL - - Linux, Git and AWS

- - Build backend services in Java, Spring and Spring Data JPA on Oracle/SQL - - Deploy on AWS and Linux with Git, Jenkins and Apache Tomcat - - Integrate models into operational applications and workflows

- - SQL - - Linux, Git and AWS Nice to have

What you'll do - Build NLP capabilities with spaCy, Gensim, NLTK and Hugging Face Transformers - - Develop and integrate deep learning models in PyTorch, TensorFlow or Keras

- Build NLP capabilities with spaCy, Gensim, NLTK and Hugging Face Transformers - - Develop and integrate deep learning models in PyTorch, TensorFlow or Keras - - Build backend services in Java, Spring and Spring Data JPA on Oracle/SQL

- - Strong Python and NLP experience (spaCy, Gensim or NLTK) - - PyTorch, TensorFlow or Keras - - SQL

Posting record

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Status in our records: Live
First seen by us: Oct 14, 2026 · 16 days ago
Recorded sightings: 22
Last seen by us: Oct 30, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

Active TS/SCI with Polygraph required. U.S. citizenship required.

Location: On-site in McLean, VA (Full-Time).

Bridge data science and production software. You'll build NLP and machine learning capabilities in Python and ship them inside Java/Spring applications on AWS for a federal national-security mission.

What you'll do

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

What you bring (required)

Active TS/SCI with Polygraph
- Strong Python and NLP experience (spaCy, Gensim or NLTK)
- PyTorch, TensorFlow or Keras
- SQL
- Linux, Git and AWS

Nice to have

Strong Java: Spring, Spring Data JPA, multithreading, JVM tuning
- Maven/Gradle, Jenkins CI/CD, Oracle, Tomcat
- Text classification, topic modeling or LLM fine-tuning
- GPU workloads

Why Falls

A 9% retirement contribution, 100% of family medical premiums paid, and 4 weeks of PTO. We're a small business that's been delivering since 2019, so your work is visible and your voice counts.

Falls Technology is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, or protected veteran status.

Source details

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Source notes

Source excerpts

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Pay: No pay amount identified in the saved description.
Location & working pattern: McLean, Virginia, United States
Active TS/SCI with Polygraph required. U.S. citizenship required. Location: On-site in McLean, VA (Full-Time). Bridge data science and production software. You'll build NLP and machine learning capabilities in Python and ship them inside Java/Spring applications on AWS for a federal national-security mission.
Work authorization: Active TS/SCI with Polygraph required. U.S. citizenship required. Location: On-site in McLean, VA (Full-Time).

Open source at fallstech.bamboohr.com ↗Read the full description ↓

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