AI/ML Engineers and Analysts - Future Consideration

Summary

ANSER enhances national and homeland security by strengthening public institutions. They are seeking AI/ML Engineers and Analysts to engage with cleared professionals in applying advanced technologies to national security missions.

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
• 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
• Understanding of responsible AI principles, model governance, and algorithm assurance
• Strong problem-solving skills, creativity, and adaptability when working with messy or incomplete real-world data
• Active Secret clearance is required for most roles
• Advanced degrees (Ph.D., M.S.) are highly desirable
• 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
• Experience deploying ML models in air-gapped, on-prem, or classified environments is a strong plus
• 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
• 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
• Understanding of responsible AI principles, model governance, and algorithm assurance
• 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

• Advanced degrees (Ph.D., M.S.) are highly desirable
• 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
• Experience deploying ML models in air-gapped, on-prem, or classified environments is a strong plus
• Top Secret or SCI eligibility is highly desirable, and some positions may require a polygraph