Analytic Services Inc
AI/ML Engineers and Analysts - Future Consideration
US - Various
No sponsorshipDetected 2 days ago
PythonDockerKubernetesMachine LearningTensorFlowPyTorchscikit-learnData ScienceNLPComputer VisionLLMsAgentic AIMLOpsCybersecurityLeadershipCollaborationProblem SolvingAdaptability
About the role
- ANSER enhances national and homeland security by strengthening public institutions.
- ANSER values collaboration, integrity, and initiative and we are client focused in all that we do.
- Because we were established for the purpose of public service and not for profit, we measure our success in the impact of our service.
Responsibilities
- Testing, advising and developing guidance and recommendations for the AI solutions and ML models.
- 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.
Requirements
- Active Secret clearance is required for most roles.
- 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.
- 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.
- If you're ready to apply AI/ML expertise and experience where it matters most, let's stay in touch.
- 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.
- 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.
Nice to have
- Experience deploying ML models in air-gapped, on-prem, or classified environments is a strong plus.
Benefits
- 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.
Visa & Work Authorization
- Submit your resume today and we'll keep you in mind for future positions that align with your technical background and security clearance
Apply directly at Analytic Services Inc →Create a free account for alerts like thisView Analytic Services Inc immigration profile
This listing is sourced directly from Analytic Services Inc's careers page and normalized into a canonical job model.