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Senior AI/ML Lead Engineer

United States, Dayton · Job Posted February 02, 2026
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Job Description

As the Senior AI/ML Lead Engineer, you will spearhead the development and deployment of intelligent systems designed for real-world object tracking, automated monitoring, and intelligent triaging. You will bridge the gap between high-level research and production-grade software, coordinating complex data collections across multiple concurrent projects.

Job Responsibility

  • Design and implement scalable, high-performance infrastructures for real-time object detection and tracking using frameworks like PyTorch or TensorFlow
  • Develop automated triage systems that prioritize and categorize incoming sensor or project data, ensuring critical events are escalated instantly
  • Architect multi-agent or agentic workflows to synchronize data collection efforts across various projects, optimizing resource allocation
  • Lead a high-performing team of engineers, conducting code reviews and setting engineering standards for MLOps and production pipelines
  • Collaborate with project managers to translate complex client requirements into actionable AI/ML roadmaps

Requirements

  • Bachelor’s or above in Computer Science, AI, or a related quantitative field
  • 7+ years of professional experience in machine learning
  • at least 3 years in a leadership or "tech lead" capacity
  • Proven track record in developing computer vision models for object tracking (e.g., CNNs, Transformers) and real-time video analytics
  • Expert-level proficiency in Python
  • familiarity with backend deployment tools (Docker, Kubernetes)
  • Experience overseeing the full data lifecycle, from acquisition and cleaning to high-fidelity labeling for specialized collections
  • Ability to articulate complex AI concepts to non-technical stakeholders and executive leadership
  • Must be a US citizen and hold a current Secret clearance or higher

Nice to have

  • Experience with agentic AI frameworks and best practice for multiple separate or stacked models
  • Experience managing AI/ML models within development and production environments to include model versioning, source code management, and deployment architecture
  • Familiarity with federal or defense-sector compliance

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