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Peraton

Runs and secures technology for federal agencies

AI/ML Engineer Technical Lead

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeLaurel, MD, USAIn-person

About the Job

Requirements

  • At least 17 years of experience with a Bachelor's degree, 10 years with a Master's degree, or 7 years with a Ph.D. in Computer Science, Engineering, Data Science, Advanced Mathematics, or a related technical field.
  • Strong proficiency with Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
  • Experience with cloud platforms including AWS, Azure, or Google Cloud Platform.
  • Experience with MLOps, CI/CD pipelines, Docker, Kubernetes, and distributed systems.
  • Strong understanding of data pipelines, model lifecycle management, and scalable AI architectures.
  • Experience operating within Agile or DevSecOps environments.
  • An active/current TS/SCI security clearance with a current polygraph is required.

Responsibilities

  • Serve as the primary point of contact for AI/ML-related technical matters with customers and stakeholders.
  • Lead the design, development, testing, deployment, and productization of AI/ML technologies supporting mission-critical objectives.
  • Develop and communicate AI/ML strategies and technical roadmaps aligned with customer and mission requirements.
  • Advise leadership on emerging AI/ML technologies, research areas, and industry advancements.
  • Represent AI/ML capabilities during customer engagements, briefings, demonstrations, and technical reviews.
  • Provide technical leadership, mentorship, and guidance to AI/ML engineering teams.
  • Support workforce planning, staffing strategy, hiring, and professional development initiatives.
  • Design, develop, and optimize scalable machine learning and deep learning models for structured and unstructured data.
  • Transform research prototypes into secure, scalable, production-ready enterprise solutions.
  • Support natural language processing, predictive analytics, anomaly detection, computer vision, and generative AI initiatives.
  • Evaluate and productize AI/ML models across commercial and government cloud architectures.
  • Integrate AI/ML solutions across enterprise systems, data platforms, and operational environments.
  • Ensure AI/ML solutions meet performance, scalability, reliability, and operational requirements.
  • Develop production-grade AI/ML pipelines, CI/CD workflows, and MLOps capabilities.
  • Provide system integration oversight across AI/ML pipelines and enterprise platforms.
  • Collaborate with software engineers, cloud architects, cybersecurity teams, and customer stakeholders.
  • Support deployment and optimization of AI/ML solutions across cloud-native and distributed environments.
  • Evaluate emerging technologies and align technical solutions with operational and enterprise objectives.

Desired Qualifications

  • Experience supporting Intelligence Community, Department of Defense, or federal government programs.
  • Experience with Large Language Models, Generative AI, RAG architectures, and vector databases.
  • Familiarity with AI governance, explainable AI, and responsible AI practices.
  • Experience with Spark, Kafka, Hadoop, or GPU-enabled distributed computing platforms.

About the Company

Peraton

Runs and secures technology for federal agencies

Peraton builds and runs secure technology for American defense, intelligence, space, and civilian agencies, from military networks to satellite ground stations. In 2025, the Federal Aviation Administration chose it to manage the overhaul of the nation's air traffic control system, replacing copper wiring with fiber and upgrading radar and radios. Its engineers, many holding security clearances, run and defend agency networks and data centers, write mission software, and operate space and communications systems, and agencies pay for this work through multiyear contracts. Peraton was formed in 2017, when private-equity firm Veritas Capital bought Harris Corporation's government IT business, and is based in Reston, Virginia.

Company size
10,001+
Company stage
Grant
Total funding
$60M
Headquarters
Reston, VA
Founded
2017

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