Senior AI/ML Lead Engineer

Altamira Technologies Corp.Fairborn, OH
$180,000Onsite

About The Position

Altamira Technologies is seeking a Senior AI/ML Lead Engineer in Dayton, OH. This role involves spearheading the development and deployment of intelligent systems for real-world object tracking, automated monitoring, and intelligent triaging. The engineer will bridge the gap between research and production-grade software and coordinate complex data collections across multiple concurrent projects. Candidates must be US citizens with a current Secret clearance or higher.

Requirements

  • Bachelor’s or above in Computer Science, AI, or a related quantitative field.
  • 7+ years of professional experience in machine learning, with 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 and 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.
  • US citizen
  • Current Secret clearance or higher

Nice To Haves

  • 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

Responsibilities

  • 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.
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