Senior AI​/ML Lead Engineer

Overview

Altamira brings a commercial mindset to solving the most complex national security problems by delivering mission application development, multi-intelligence analysis, and data science technologies and solutions to the defense, intelligence, and homeland security communities. Altamira Technologies Corporation is in search of a Senior AI/ML Lead Engineer in Dayton, OH.

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.

Acceptable candidates must be a US citizen and hold a current Secret clearance or higher.

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

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

• 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.