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AI​/ML Engineer III

Job in Bowie, Prince George's County, Maryland, 20721, USA
Listing for: Reflexive Concepts
Full Time position
Listed on 2026-06-14
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Artificial Intelligence
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Reflexive Concepts is seeking an AI/ML Engineer III to join our team!

This role supports the VISTA MT&E mission, applying advanced machine learning to large-scale mission data.

Key Responsibilities
  • Select appropriate data sets and perform statistical analysis
  • Research, implement, and tune a broad range of AI and ML algorithms and tools
  • Apply natural language processing (NLP) techniques to mission data
  • Build and operate MLOps pipelines to train, deploy, monitor, and retrain models at scale
  • Transform and convert data science prototypes into scalable production solutions
  • Oversee test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
  • Design or select appropriate data and knowledge representation methods
  • Verify data and model output quality and identify differences in data distribution that affect model performance
  • Provide system integration oversight
Qualifications
  • Active TS/SCI with polygraph (in-scope, within 7 years)
  • Ten (10) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
  • A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.
  • 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
  • Experience with standard machine learning frameworks, e.g. PyTorch, Tensor Flow.
  • Demonstrated background in natural language processing (NLP) and MLOps.
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