Senior AI/ML Lead Engineer

Altamira-Technologies-Corp.; Fairborn (OH); On-site; USD 150,000 - 190,000; Full time

Job summary

Altamira Technologies Corporation seeks a Senior AI/ML Lead Engineer in Dayton, OH to drive real-time object tracking and intelligent triaging systems. You will bridge research and production, coordinating data across projects and mentoring engineers while upholding high engineering standards.

Responsibilities include system architecture, data coordination, and strategic roadmapping, with a focus on MLOps and scalable pipelines for defense and security applications. U.S.

Qualifications

• 7+ years of professional ML experience with at least 3 years in a leadership role.
• Bachelor’s or above in CS, AI or related quantitative field.
• CV expertise: object tracking models and real-time video analytics.
• Proficient Python with backend deployment tools (Docker, Kubernetes).
• Experience with data lifecycle, labeling for specialized collections.
• Strong ability to communicate AI concepts to non-technical stakeholders.

Responsibilities

• System Architecture: Design scalable real-time object detection and tracking infra using PyTorch or TensorFlow.
• Intelligent Triaging: Develop automated triage systems to prioritize and categorize data.
• Collection Coordination: Architect multi-project data collection workflows.
• Technical Mentorship: Lead engineers, establish MLOps standards for production pipelines.
• Strategic Integration: Translate client requirements into AI/ML roadmaps.

Skills

Machine Learning

Leadership

Python

Computer Vision

Real-time Analytics

Data Management

Communication

MLOps

Team Mentorship

Education

Bachelor’s or above in Computer Science / AI or related field

Tools

PyTorch

TensorFlow

Docker

Kubernetes

Job description

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-timeobject detectionandtrackingusing 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 forobject tracking(e.g., CNNs, Transformers) and real-time video analytics.
• Advanced Programming:Expert-level proficiency inPythonand 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 withagentic AIframeworks 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