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# Machine Learning Engineer (Defense)

- **Company:** Air Inc
- **Location:** Boston, United States
- **Contract:** Permanent contract
- **Skills:** Automation of Tests, Data Structures, Machine Learning, Tensorflow, Software Construction, Management of Software Versions, Pytorch, Large Language Models, Prompt Engineering, Deep Learning, Scikit Learn, Machine Learning Operations, Data Pipelines, Apache Beam
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/machine-learning-engineer-defense-air-space-intelligence-8294974

## About the Role

* Proficiency in Python and experience with production ML tooling and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
 * Experience using LLMs in production environments - covering prompt engineering, fine-tuning, RAG systems, and frameworks like LangChain
 * Strong understanding of data structures, algorithms, and software engineering best practices.
 * Familiarity with classical ML, deep learning with emphasis on transformer architectures, and MLOps concepts.
 * Experience building and maintaining scalable, reliable production ML systems with robust data pipelines, including expertise with Apache Beam, MLflow, and similar production-grade tools.
 * Commitment to high-quality ML engineering practices, including data versioning, experiment tracking, model governance, and automated testing pipelines.
 * A bias for simplicity and clarity in solving complex problems.
 * Intellectual curiosity and willingness to collaborate.
 * Clear communication and collaboration across cross-functional teams.



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