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1 день назад

AI/ML Software Engineer (Defense)

86 800 - 198 000$
Формат работы
remote (только USA)/hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI/ML Software Engineer (Defense): Designing, developing, and deploying end-to-end AI/ML solutions for Department of War and Intelligence Community mission systems with an accent on secure ISR architectures and operational prototyping. Focus on building robust data pipelines, implementing CI/CD for ML, and integrating advanced analytics into mission-critical environments.

Location: Must be based in the USA (Rome, NY). Role may require occasional on-site work at Booz Allen or customer facilities.

Compensation: $86,800–$198,000 (annualized USD).

Company

hirify.global is a leading provider of AI and mission-engineering services for the US government and intelligence sectors.

What you will do

  • Design and deploy advanced AI/ML software to strengthen ISR decision advantage.
  • Build end-to-end data and ML pipelines, including ingestion, feature engineering, and model evaluation.
  • Implement CI/CD, containerization, and version control practices for modern ML engineering.
  • Collaborate with cross-functional teams, including data engineers and mission SMEs.
  • Develop and train models using supervised, unsupervised, and deep learning techniques.
  • Ensure solutions align with secure enterprise ecosystems and mission-focused R&D priorities.

Requirements

  • Must be a US citizen and able to obtain Secret clearance.
  • 5+ years of experience with Python.
  • Experience with ML frameworks like PyTorch, TensorFlow, or scikit-learn.
  • Experience developing, training, and deploying AI/ML models.
  • Bachelor’s degree in Computer Science, Data Science, or Engineering.
  • Experience with software engineering practices including CI/CD and containerization.

Nice to have

  • Experience with MLOps frameworks (MLflow, Kubeflow).
  • Knowledge of generative AI, LLM fine-tuning, and RAG.
  • Experience with cloud or on-prem secure compute environments (AWS, Azure, GCP).
  • TS/SCI clearance.
  • Master’s degree or AI/ML certifications.

Culture & Benefits

  • Comprehensive health, life, disability, and retirement benefits.
  • Paid leave and professional development opportunities.
  • Tuition assistance and work-life programs.
  • Recognition awards for exceptional performance.
  • Collaborative, people-first culture with a focus on mission-critical impact.

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