Strong experience in Python and NLP libraries (spaCy, Gensim, NLTK)
Proficiency in deep learning frameworks (PyTorch, TensorFlow, Keras)
Experience with SQL databases
Familiarity with Linux, Git, and AWS deployment
Responsibilities
Build NLP capabilities using spaCy, Gensim, NLTK, and Hugging Face Transformers
Develop and integrate deep learning models in PyTorch, TensorFlow, or Keras
Create backend services using Java, Spring, and Spring Data JPA
Deploy applications on AWS and Linux using Git, Jenkins, and Apache Tomcat
Integrate machine learning models into operational applications and workflows
Benefits
9% retirement contribution
100% of family medical premiums paid
4 weeks of paid time off (PTO)
Opportunity for visible impact in a small business environment
Full Job Description
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.
