New 
Data Engineer/NLP (AI)
 Quadrant, Inc. | |
 United States, Virginia, Herndon | |
 Oct 02, 2025 | |
|
Data Engineer/NLP (AI) Herndon, VA Pay From: $56.00 per hour MUST: Data Engineer/NLP (AI) Secret Clearance 7+ years of hands-on experience with Natural Language Processing (NLP), Large Language Models (LLMs), semantic search, text embedding, RAG (retrieval-augmented generation), and generative AI applications Strong coding and documentation practices in Python, R, Scala, Java, or C++ Experience in ML engineer or data scientist roles developing and deploying real-world ML models Proficiency with version control systems (e.g., Git) for collaborative development Demonstrated use of Apache Spark or Databricks for high-volume distributed ML Deep understanding of machine learning subfields including computer vision, statistical learning theory, reinforcement learning, and both supervised/unsupervised techniques Proven experience with data preprocessing, feature engineering, and model evaluation Demonstrated use of Apache Spark or Databricks for high-volume distributed ML workloads Experience working with petabyte-scale datasets, performing data exploration, writing SQL, and using data visualization tools Bachelor's degree, or Master's degree with 5+ years of experience DUTIES: The Data Engineer will support DOD and have a strong background in natural language processing, generative AI (LLMs, RAG), distributed computing, and cloud-native architecture. Design, develop, test, and support AI/ML pipelines and informatics solutions for varied DoD technical missions Collaborate with data scientists, software engineers, and stakeholders to integrate AI solutions across Search Portfolio products Optimize AI models for performance and cost-efficiency using distributed compute (Apache Spark/Databricks) and GPU-based Kubernetes clusters Stay informed on emerging AI research and integrate relevant advancements into production-ready models Manage full lifecycle of AI/ML components, from research to deployment, monitoring, and iterative improvement Diagnose and solve complex data-related challenges through analytical modeling and AI-driven approaches Document and present design alternatives, trade-offs, and implementation strategies to stakeholders Build and maintain shared libraries, tools, and reusable ML assets across engineering teams Quadrant is an affirmative action/equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a protected veteran, or status as an individual with a disability. "Healthcare benefits are offered to all eligible employees according to compliance mandated by the Affordable Care Act". | |