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2 months ago

Senior AI/ML Engineer (Defense)

Work format
onsite
Work type
fulltime
Grade
senior
English
b2
Country
US
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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Job description

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TL;DR
Senior AI/ML Engineer (AI/ML): Developing and deploying cloud-enabled AI/ML solutions for surveillance, targeting, and engagement operations with an accent on computer vision and sensor fusion. Focus on implementing LLMs, RAG pipelines, and ensuring the cyber resilience of mission-critical systems.

Location: Onsite in Bedford, IN / Crane, IN. Active DoD Secret Clearance required

Company

A rapidly growing government contractor providing leading-edge support to federal customers, specifically within Defense and National Security mission sets.

What you will do

  • Partner with project managers to define objectives for AI/ML systems in support of maneuver, surveillance, and engagement missions.
  • Develop and prototype AI/ML applications, including computer vision, sensor fusion, and decision-support tools.
  • Conduct rigorous testing and evaluation of AI/ML performance against operational datasets.
  • Optimize systems to ensure robustness, scalability, and cyber resilience.
  • Troubleshoot complex system challenges and provide technical guidance for deployed solutions.
  • Maintain awareness of emerging AI/ML technologies and software engineering practices.

Requirements

  • Active DoD Secret Clearance (Top Secret preferred).
  • 10+ years of experience in AI/ML engineering, software development, or applied data science.
  • Expertise in LLMs, RAG, MLOps pipelines, and frameworks such as PyTorch or TensorFlow.
  • Experience using AWS GovCloud (COSMOS) or similar secure cloud environments.
  • DoD 8570 Advanced certification (e.g., SecurityX, GCSA, CCSP or equivalent).
  • Bachelor's degree in Computer Science or Engineering (Master's preferred).

Culture & Benefits

  • Opportunity to work on the Nation's most complex and rewarding security challenges.
  • Vibrant corporate culture focused on collaboration, innovation, and diversity of perspective.
  • Partnerships with private sector firms, academic institutions, and industry associations.

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