Senior AI/ML Engineer

Bedford, IN, US • Posted 2 hours ago • Updated 2 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Surveillance
  • Computer Vision
  • Sensors
  • Fusion
  • Decision Support
  • Testing
  • Evaluation
  • Scalability
  • Documentation
  • Software Engineering
  • Security Clearance
  • Computer Science
  • Software Development
  • Data Science
  • Artificial Intelligence
  • Machine Learning Operations (ML Ops)
  • Machine Learning (ML)
  • PyTorch
  • TensorFlow
  • Hardening
  • Mentorship
  • DoD
  • Cisco Certifications

Summary

Must be able to work on-site in Bedford, IN 1-2 days/week.

Responsibilities:
  • Partner with project managers and engineering teams to define objectives for AI/ML systems in support of maneuver, surveillance, and engagement missions.
  • Develop and prototype AI/ML systems to address mission-specific requirements, including computer vision, sensor fusion, and decision-support applications.
  • Conduct rigorous testing and evaluation of AI/ML performance against operational datasets.
  • Analyze test data to identify model strengths, weaknesses, and mission relevance.
  • Refine and optimize systems to ensure robustness, scalability, and cyber resilience.
  • Troubleshoot complex system challenges and provide technical guidance for deployed solutions.
  • Deliver comprehensive documentation and technical reports to stakeholders.
  • Maintain awareness of emerging AI/ML technologies, software engineering practices, and cyber defense techniques relevant to mission-critical systems.

Qualifications:
  • Active DoD Secret Clearance (Top Secret preferred).
  • Bachelor's degree in Computer Science, Engineering, or related technical discipline (Master's preferred).
  • 10+ years of progressive experience in AI/ML engineering, software development, or applied data science.
  • Expertise in developing, deploying, and securing AI/ML applications within mission-critical or defense environments.
  • Demonstrated experience with LLMs, MLOps pipelines, and modern ML frameworks (e.g., PyTorch, TensorFlow).
  • Strong background in software and cyber engineering principles, including system hardening, secure coding, and vulnerability mitigation.
  • Proven ability to lead complex technical efforts, mentor junior engineers, and interface with government stakeholders.
  • DoD 8570 Advanced certification (e.g., SecurityX, GCSA, CCSP, or equivalent) must be obtained and maintained.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90719985
  • Position Id: 2150d84e5693a08b257fb64094dc1ebb
  • Posted 2 hours ago
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