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# Senior NLP & Machine Learning Engineer

- **Company:** Nyla Technology Solutions
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computational Linguistics, Python (Programming Language), Machine Learning, Natural Language Processing, NLTK (NLP Analysis), Performance Tuning, Tensorflow, Software Engineering, Systems Integration, Tokenization, Data Processing, Pytorch, Large Language Models, Deep Learning, Model Validation, Scikit Learn, Information Technology, HuggingFace, Spacy
- **Published:** July 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=61ba83826ad3e9a9

## About the Role

Ready to push the boundaries of natural language processing and AI? In this role, you will be at the forefront of automated language processing, tackling complex natural language data from both spoken and written origins. You won't just run off-the-shelf models-you'll architect autonomous tokenization pipelines, build automated part-of-speech annotation solutions, and rigorously score and benchmark model performance against human-annotated baselines. If you thrive on pushing the boundaries of NLP, fine-tuning machine learning models, and bringing cutting-edge AI/LLM capabilities to high-stakes missions, you'll fit right in with Team Nyla., Python Expertise: Advanced, production-level proficiency in Python for data manipulation, algorithmic modeling, and NLP tool development.

Natural Language Processing (NLP): Extensive hands-on experience designing and deploying core NLP workflows, including tokenization, text normalization, and parts-of-speech (POS) tagging.

Model Evaluation & Scoring: Demonstrated track record of benchmarking machine learning/NLP models, performing error analysis, and measuring accuracy against human-annotated datasets.

Multi-Modal Language Processing: Practical experience processing diverse natural language datasets originating from both spoken (transcribed) and written sources.

Education: Bachelor's Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, PLUS 7+ years of professional experience in data science, NLP, or software engineering OR Master's Degree in a related field, PLUS 5+ years of relevant professional experience OR High School Diploma / GED, PLUS 11+ years of specialized technical experience in lieu of a degree., Machine Learning & Frameworks: Familiarity with modern ML libraries and deep learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face, spaCy, NLTK).

## Description

AI & Large Language Models (LLMs): Hands-on experience testing, fine-tuning, or integrating modern LLMs and generative AI frameworks into production analytical pipelines.


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