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# AI/ML Engineer

- **Company:** Altamira Technology Corporation
- **Location:** Fairborn, OH, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computer Vision, Automation of Tests, Microsoft Azure, Nvidia CUDA, System Configuration, Continuous Integration, Distributed Computing Environment, Distributed Systems, Machine Learning, Natural Language Processing, NumPy, Tensorflow, Scientific Computating, Software Deployment, Software Engineering, Reinforcement Learning, Data Processing, Google Cloud, Pytorch, Retrieval-Augmented Generation, Large Language Models, Hallucination Detection, Deep Learning, Model Validation, Generative AI, Gpu Programming, HybridCloud, Gitlab, Pandas, Containerization, Scikit Learn, Kubernetes, Information Technology, Integration Frameworks, Machine Learning Operations, Software Version Control, Docker, Microservices
- **Published:** October 7, 2026
- **Apply:** https://dejobs.org/x/x/66C5F8C586054B3A9816ED316E870B86/job/

## About the Role

* 5+ years' experience developing machine learning models (such as: NLP/LLM, CV, deep learning, generative AI, reinforcement learning, or other related)
 * 5+ years' experience developing AI/ML capabilities to operate in a microservice stack
 * Experience developing or maintaining production-grade APIs, microservices, or distributed systems
 * Experience with data processing frameworks and scientific computing libraries (such as: NumPy, Pandas, PyTorch, TensorFlow, or scikit-learn)
 * Experience designing, configuring, or deploying software systems in operational environments
 * Experience with CI/CD tooling, source control (such as GitLab) and containerization technologies (such as: Docker, Podman, or Kubernetes)
 * TS/SCI clearance, and willingness to take a polygraph
 * Bachelor's degree in a related STEM field

Desired Skills:

 * Experience in GPU programming, including CUDA or RAPIDs
 * Experience with AWS and containerization of models in a classified environment
 * Experience with LLM orchestration, RAG pipelines, grounding, or hallucination-mitigation workflows
 * Experience with MLOps platforms, distributed training, or hybrid cloud environments (AWS, Azure, GCP)
 * Familiarity with automated testing tools and model evaluation frameworks
 * Master's degree in Computer Science, AI/ML Engineering, Data Science, or related STEM field
 * Industry certifications in AI/ML, cloud, or solution architecture

## Description

As an AI/ML Engineer, you will design, build, and deploy advanced artificial intelligence and machine learning solutions that modernize mission systems and accelerate decision-making across the national security ecosystem. You will contribute end-to-end-spanning data processing, model development, MLOps, and integration of scalable AI capabilities into operational environments.

Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision, and modern software engineering practices, consistent with the firm's AI/ML engineering role definitions. We value first-principles reasoning and physically interpretable models, so experience developing hybrid systems that combine calibrated sensor models, deterministic algorithms, probabilistic inference, and learned components is particularly desirable. Candidates should be motivated by building systems that are scientifically explainable, empirically validated, and capable of operating robustly across both synthetic and real-world sensing environments. You will partner closely with cross-functional engineering, mission SMEs, and product teams to deliver production-grade systems aligned NGA's AI modernization approaches.