> Markdown version of [/jobs/ext/3702847-ttg-322-nlp-machine-learning-engineer-293-750-total-compe](https://www.wearedevelopers.com/jobs/ext/3702847-ttg-322-nlp-machine-learning-engineer-293-750-total-compe). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # TTG-322 - NLP & Machine Learning Engineer - $293,750 Total Compe - **Company:** TTG Solutions Inc. - **Location:** McLean, VA, United States - **Salary:** $293,750.0 - **Contract:** Permanent contract - **Skills:** Python (Programming Language), Machine Learning, NLTK (NLP Analysis), Tensorflow, SQL Databases, Graphics Processing Unit (GPU), Pytorch, Large Language Models, Deep Learning, Topic Modeling, Keras, HuggingFace, Gensim, Spacy, Document Classification, Programming Languages - **Published:** October 12, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9040482/ttg-322-nlp-machine-learning-engineer-293750-total-compe ## About the Role TTG Solutions is seeking a skilled NLP and Machine Learning Engineer to join our team. The ideal candidate will have experience in developing NLP applications and utilizing advanced machine learning frameworks to derive insights from complex datasets. The candidate will be responsible for designing and implementing NLP models using Python libraries like Spacy, Gensim, or NLTK. They will create machine learning models for text classification and topic modeling, utilizing deep learning frameworks such as PyTorch, TensorFlow, or Keras. The role involves conducting advanced statistical analysis on various datasets and optimizing computational efficiency with GPU acceleration. Subject Matter Expert Normally requires at least sixteen (16) years of experience specific to the skill or occupation. For specific computer languages, systems or technologies, expertise with the subject matter or technology outweighs the number of years of experience. Requirements: 16 yrs+ * Proficiency with Python NLP libraries such as Spacy, Gensim, or NLTK * Experience with deep learning frameworks like PyTorch, TensorFlow, or Keras * Familiarity with the HuggingFace Transformers library and hub * Ability to create machine learning models for text classification and topic modeling * Proficiency in SQL * Experience leveraging GPUs for accelerated computing * Strong statistical analysis skills on diverse datasets This position requires an active TS/SCI clearance with Polygraph. Total compensation is the total combination of salary, benefits, retirement, bonuses, etc... and it is calculated using the following formula