Analytic Services - Chantilly, VA

posted about 2 months ago

Full-time
Onsite - Chantilly, VA
Ambulatory Health Care Services

About the position

ANSER is seeking Artificial Intelligence (AI)/ Machine Learning (ML) Engineers and Architects who have experience in designing and implementing AI solutions across various domains. In this key role, you will support national geospatial programs and projects. You will play a crucial part in designing and implementing scalable, efficient AI/ML solutions for various projects. Your work will involve using AI, big data analytic tools, and ML as mechanisms to predict and determine relationships and trends. You will develop new and improve existing AI/ML models operating on various forms of RF data to identify anomalies and events of interest. Additionally, you will correlate complex, technical findings into graphical, written, visual, and verbal narrative products on existing data trends to leverage other military or commercial data sources. As part of the key team, you will also develop white papers, reports, and other documents including technical and programmatic assessments presenting analysis, results, conclusions, and recommendations.

Responsibilities

  • Design and implement scalable AI/ML solutions for various projects.
  • Develop and improve AI/ML models operating on RF data to identify anomalies and events of interest.
  • Correlate complex technical findings into various narrative products.
  • Develop white papers, reports, and technical assessments presenting analysis and recommendations.
  • Utilize AI and big data analytic tools to predict and determine relationships and trends.

Requirements

  • Bachelor's degree with 8 or more years of relevant experience, or a Master's degree with 5+ years of relevant experience.
  • A minimum of 5 years of hands-on experience in architecting and implementing AI solutions, focusing on machine learning, deep learning, and natural language processing.
  • Expertise in one or more modern programming languages such as C, C++, or Python.
  • Hands-on development experience in AI/ML model building and tuning.
  • A minimum of 1-year demonstrable experience in working with non-proprietary large language models.
  • Familiarity with modern software development practices (Git, CI/CD toolchains).
  • TS/SCI with Polygraph level clearance.
  • Demonstrated knowledge of advanced AI techniques, such as reinforcement learning, generative adversarial networks (GANs), or federated learning.
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