Leads development and deployment of computer vision and AI/ML systems for real-time object tracking, monitoring, and intelligent data triage. Designs scalable architectures, agentic data-collection workflows, and production MLOps pipelines; mentors engineers, oversees data lifecycle and model deployment, and translates client needs into AI/ML roadmaps. Requires advanced Python, computer vision, Docker, Kubernetes, seven-plus years of machine learning experience, U.S. citizenship, and an active Secret clearance or higher.
Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies.
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.
Core Responsibilities
- System Architecture: Design and implement scalable, high-performance infrastructures for real-time object detection and tracking using frameworks like PyTorch or TensorFlow.
- 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.
Qualifications & Skills
- 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.
Preferred Qualifications
- 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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