AI/ML Engineers and Analysts - Future Consideration

Summary

ANSER strengthens national and homeland security by providing independent analysis, thought leadership, and practical solutions to complex public-sector challenges. The AI/ML Engineers and Analysts will advise, develop, test, and deploy artificial intelligence and machine learning capabilities for defense and national security missions, including predictive analytics, generative AI, agentic systems, and decision support in secure environments.

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

Skills

• * 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
• * 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
• * Active Secret clearance is required for most roles
• * Top Secret or SCI eligibility is highly desirable, and some positions may require a polygraph

Qualifications

Must Haves

• * 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
• * 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
• * Active Secret clearance is required for most roles

Nice to Haves

• * Top Secret or SCI eligibility is highly desirable, and some positions may require a polygraph

Benefits

• Most roles are on-site throughout Northern Virginia and the Washington, D.C. area; remote or hybrid options are typically not available.