ML Engineer

Springfield, VA, US • Posted 2 days ago • Updated 6 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Production Support
  • Continuous Delivery
  • Microservices
  • Infrastructure Architecture
  • Mentorship
  • DevOps
  • Cloud Computing
  • Continuous Integration
  • Security Clearance
  • Software Engineering
  • Software Development
  • Version Control
  • Management
  • Testing
  • Operational Excellence
  • Statistical Models
  • Data Analysis
  • Science
  • Mathematics
  • Quantitative Analysis
  • Python
  • SQL
  • NoSQL
  • API
  • Machine Learning (ML)
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Generative Artificial Intelligence (AI)
  • Artificial Intelligence
  • Biometrics
  • Spectrum
  • Business Process

Summary

Candidates must be willing to work in SCIF daily or as needed, and participate in on-call rotation for production support as needed.

Responsibilities
  • Design, implement, and maintain cloud-native infrastructure and deployment pipelines using Infrastructure as Code
  • Lead and architect scalable, secure, and resilient infrastructure solutions across multiple cloud environments
  • Build and optimize CI/CD pipelines for complex microservices and architectures
  • Develop and maintain full-stack applications while ensuring operational excellence and reliability
  • Implement monitoring, logging, and alerting solutions for production systems
  • Drive security-first infrastructure design and implementation
  • Mentor team members on DevOps best practices and cloud-native technologies
Requirements
  • TS/SCI CI Poly Clearance with Customer eligibility and SBU/SecNet/COE accounts
  • Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
  • Experienced in professional software engineering and best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques
Preferred Qualifications
  • Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
  • Experience working on multi-team, cross-disciplinary projects
  • Experience applying quantitative analysis to solve business problems and making data-drive business decisions
  • Experience in defining and creating benchmarks for assessing GenAI model performance
  • Experience with Python, SQL/NoSQL, and API development for building and deploying AI/ML solutions
  • Experience working with Large Language Models (LLMs), prompt engineering, and generative AI frameworks

About Us
For more than 20 years, NewGen Technologies has solved our clients' toughest IT challenges with integrity, security, and outstanding service by delivering both technology and talent. We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the identification of criminals, and have helped to prevent crime through the introduction of biometrics. Our team of Highly Cleared Specialists have hard-to-find skills and expertise in a wide spectrum of technologies to provide solutions that transform business processes and solve problems of national significance. #CJ
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10153280
  • Position Id: f670b4113993cb1f7f084054a26ecd75
  • Posted 2 days ago
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