Note: The job is a remote job and is open to candidates in USA. ANSER enhances national and homeland security by strengthening public institutions. They are looking to engage with cleared AI/ML professionals who bring both technical expertise and a strong sense of mission to support national security initiatives.
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
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