AI/ML Systems Lead for Real-Time Vision

Altamira Technologies Corporation; Fairborn (OH); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Altamira Technologies Corporation seeks an experienced R&D Technical Lead to bridge AI/ML research and production systems. You will guide teams from concept to customer delivery, shaping architecture and workflows across AI/ML and software engineering.

The role emphasizes translating research into scalable software, mentoring engineers, and aligning technical decisions with real-world customer needs in object tracking and data triage domains.

Qualifications

• 7+ years of professional experience in machine learning, with 3+ years leading teams from research to production deployment.
• Bachelor’s or higher in Computer Science, AI, or a related quantitative field.
• Proven computer vision experience: object tracking, real-time video analytics (CNNs, Transformers).
• Proficient in Python and high-performance languages; familiarity with backend deployment tools such as Docker and Kubernetes.
• Ability to communicate complex AI concepts to non-technical stakeholders and executive leadership.

Responsibilities

• Team Leadership: provide technical guidance to engineering teams and align requirements to technical tasks.
• System Architecture: design scalable, high-performance software integrating AI/ML capabilities.
• Collection Coordination: architect multi-agent workflows to synchronize data collection across projects.
• Technical Mentorship: lead engineers, conduct code reviews, and set MLOps standards for production pipelines.
• Strategic Integration: collaborate with project managers to translate client requirements into AI/ML roadmaps.

Skills

Team leadership

Communication

Mentorship

Strategic thinking

Education

Bachelor’s degree in Computer Science or related field

Tools

Python

C++

Rust

Java

Docker

Kubernetes

Job description

Altamira Technologies Corporation seeks an experienced R&D Technical Lead to bridge AI/ML research and production systems. You will guide teams from concept to customer delivery, shaping architecture and workflows across AI/ML and software engineering.

The role emphasizes translating research into scalable software, mentoring engineers, and aligning technical decisions with real-world customer needs in object tracking and data triage domains.