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Analytic Services

Not-for-profit public policy and security analysis

AI/ML Engineers and Analysts - Future Consideration

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Active Secret clearance is required for most roles; Top Secret or SCI eligibility is highly desirable, and some positions may require a polygraph.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. Advanced degrees (Ph.D., M.S.) are highly desirable.
  • 3+ years of experience in AI/ML engineering, processes, data or development roles, preferably within DoD, defense, or federal contracting environments.
  • Proficiency in Python and common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face.

Responsibilities

  • Testing, advising and developing guidance and recommendations for the AI solutions and ML models.
  • Provide risk assessments for mitigation solutions for AI and ML capabilities related to mission critical needs.
  • Providing support for the design, training, and deployment of ML models for applications such as predictive analytics, NLP, computer vision, anomaly detection, and decision support.
  • Testing and applying generative AI techniques to enhance simulation, content creation, and mission planning within secure domains.
  • Exploring and implementing agentic AI capabilities, including autonomous agents that reason, plan, and act within operational constraints to support human decision-makers.
  • Building scalable AI/ML architectures that operate effectively within air-gapped or classified environments.
  • Working with structured and unstructured data sources to build pipelines for data ingestion, cleansing, feature extraction, and transformation.
  • Collaborating with software developers, data scientists, and mission SMEs to integrate AI/ML solutions into larger operational systems or platforms.
  • Evaluating emerging technologies and frameworks for potential use in secure or constrained government environments.
  • Preparing technical documentation, model explainability reports, and evaluation metrics tailored for non-technical audiences and decision-makers.

Desired Qualifications

  • Experience with generative models (e.g., LLMs, diffusion models) and agent-based architectures or multi-agent systems is highly valued.
  • Familiarity with ML ops, containerization (Docker, Kubernetes), and secure deployment strategies.
  • Understanding of responsible AI principles, model governance, and algorithm assurance.
  • Experience deploying ML models in air-gapped, on-prem, or classified environments is a strong plus.
  • Strong problem-solving skills, creativity, and adaptability when working with messy or incomplete real-world data.
  • Advanced degrees (Ph.D., M.S.) are highly desirable.

About the Company

Analytic Services

Not-for-profit public policy and security analysis

ANSER is a not-for-profit public service research institute that provides objective studies and analyses to the national security, homeland security, and public policy communities. It uses a range of capabilities—such as Analysis of Alternatives, Acquisition Analysis, Workforce Analysis, Performance Measurement, Policy Formulation, Counter-WMD, and Risk Assessment—to inform decision makers. Through its subsidiary Advanced Technology International (ATI), ANSER also organizes and manages research and development consortia for the federal government, building technology development collaborations. Unlike many for-profit consultancies, ANSER emphasizes independent, unbiased research rooted in a long history dating back to 1958, with origins tied to the RAND Corporation. Its goal is to inform decisions that shape the nation’s future by providing rigorous, objective analyses and by facilitating collaborative technology programs for the government.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Falls Church, VA
Founded
1958

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