Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication—ensuring long-term stability and expertise for our customers’ critical needs.

Job Summary

• Seeking a Data Scientist to support the development of advanced artificial intelligence solutions focused on natural language processing (NLP) and large language model (LLM) integration within an agentic AI framework (e.g., LangGraph)
• This role is responsible for designing, training, and validating machine learning models that extract knowledge from complex, unstructured, multilingual data sources without reliance on predefined ontologies
• The position requires strong expertise in data preparation, model development, and ensuring compliance with enterprise data policies to deliver production-ready AI capabilities

Primary Responsibilities

• Design, develop, and train NLP and Named Entity Recognition (NER) models for integration with LLM-based and agentic AI frameworks (e.g., LangGraph)
• Perform supervised and unsupervised machine learning model development, training, and validation for automated knowledge extraction
• Process and analyze unstructured natural language data across multiple languages, enabling scalable and adaptive data understanding without predefined ontologies
• Develop pipelines to support data ingestion, preprocessing, and transformation for model training and inference
• Ensure data quality, consistency, and readiness for integration into production AI systems
• Apply data retrieval and enrichment techniques to support training datasets from diverse enterprise data sources
• Evaluate model performance and refine algorithms to improve accuracy, scalability, and robustness
• Collaborate with engineering and product teams to integrate models into operational systems
• Ensure adherence to enterprise data governance, compliance, and security policies in all AI solutions
• Document methodologies, model performance, and data processes to support transparency and reproducibility

Required Qualifications

• Must have active Top Secret/SCI clearance with Full Scope Polygraph (MD Customer)
• Master’s degree with 6 years of relevant experience, Bachelor’s Degree with 8 years of relevant experience, or Associate's Degree with 10 years of in-depth relevant experience that is clearly related to the position
• Experience developing and training NLP/NER models and working with large language models (LLMs)
• Strong background in machine learning, including supervised and unsupervised techniques
• Experience working with unstructured and multilingual data
• Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, or similar)
• Experience with data preprocessing, feature engineering, and data pipeline development
• Understanding of data quality management and data readiness for production systems
• Familiarity with agentic AI frameworks (e.g., LangGraph) or similar orchestration frameworks
• Strong analytical, problem-solving, and communication skills

Desired Qualifications

• No desired skills listed at this time

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.