Senior AI/ML Lead Engineer - Real-Time Vision & Production

FOTOMILL STUDIOS LIMITED; Fairborn (OH); On-site; USD 140,000 - 190,000; Full time

Job summary

Altamira Technologies Corporation in Dayton, OH, seeks a Senior AI/ML Lead Engineer to spearhead real-time object tracking systems and intelligent triage across multiple projects.

You will bridge research and production, design scalable ML architectures using PyTorch/TensorFlow, and lead a team of engineers in MLOps and deployment pipelines while coordinating data collection and compliance with security standards.

Qualifications

• Education: Bachelor’s degree in Computer Science, AI, or a related field.
• 7+ years of professional experience in machine learning, with at least 3 years in a leadership or 'tech lead' capacity.
• Computer Vision Expertise: Track record in object tracking models and real-time video analytics.
• Advanced Programming: Python with backend deployment tools familiarity (Docker, Kubernetes).
• Data Management: Experience with data lifecycle, labeling, and collection coordination.

Responsibilities

• System Architecture: Design scalable real-time object tracking infrastructures using PyTorch or TensorFlow.
• Intelligent Triaging: Develop automated triage systems for prioritizing data and events.
• Collection Coordination: Architect workflows to synchronize data collection across projects.
• Technical Mentorship: Lead engineers, conduct code reviews, and set ML/Ops standards.
• Strategic Integration: Translate client requirements into AI/ML roadmaps and deployments.

Skills

Leadership

Machine Learning

Python

Communication

Computer Vision

Education

Bachelor’s degree in Computer Science/AI

Tools

PyTorch

TensorFlow

Docker

Kubernetes

Job description

Altamira Technologies Corporation in Dayton, OH, seeks a Senior AI/ML Lead Engineer to spearhead real-time object tracking systems and intelligent triage across multiple projects.

You will bridge research and production, design scalable ML architectures using PyTorch/TensorFlow, and lead a team of engineers in MLOps and deployment pipelines while coordinating data collection and compliance with security standards.