What are the responsibilities and job description for the AI/ML Engineer Clearance Level Required - TS/SCI w/CI Poly position at OMAYGAH LLC?
Clearance Level Required - TS/SCI w/CI Poly
Description of Services/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 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
Basic Requirements
- Must be willing to work in SCIF daily or as needed, and participate in on-call rotation for production support as needed
- Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
- Experience in professional software engineering & 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
- Must be willing to work in SCIF Site up to 100% of each week
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-driven 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