2+ years of experience designing, deploying, or securing AI/ML pipelines, such as training, inference, or monitoring
5+ years of experience in cybersecurity, systems architecture or software engineering, and AI/ML solution design
4+ years of experience supporting DoD, Intelligence Community, or federal civilian missions
Experience with Machine Learning orchestration and serving platforms, such as SageMaker, Vertex AI, MLflow, or Kubeflow
Experience with LLM platforms and APIs, such as OpenAI, Anthropic, Azure Open AI, or AWS Bedrock
Experience implementing AI security controls, such as data provenance, model integrity, and supply chain, and integrating AI into operational workflows, such as SOC automation, threat detection, and analytics
TS/SCI clearance
Experience with Machine Learning frameworks, such as TensorFlow, PyTorch, Scikit-Learn, or Hugging Face
Knowledge of AI governance, DoD Responsible AI, and federal compliance
HS diploma or GED
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required

Expert Computer Scientist - Quality Assurance Framework (QAF) Oversight & Monitoring

Peraton

Herndon, VA 20170

Experienced with intelligence databases, software, and analytical tools.
Excellent communication, analytical, and problem-solving skills.
Expertise in algorithm development, data structures, and software development practices.
Ability to work collaboratively with users and stakeholders.
This Position requires an Active TS/SCI and the ability to obtain a Poly, US Citizenship is required to hold this clearance.
Master's degree in a relevant field, such as Computer Science, with a minimum of 20 years of work experience.
Strong analytical and critical thinking skills to interpret complex data and draw meaningful conclusions.
Capacity to adapt to changing situations to prioritize tasks effectively.
Experienced in advanced analytics, machine learning, and data integration methodologies.
Experienced in utilization of the Quality Assurance Framework and standards.