AI/ML Technical Lead — Research to Production

Altamira Technologies Corp.; Dayton (OH); Vor Ort; USD 150.000 - 190.000; Vollzeit

Zusammenfassung

Altamira Technologies Corp. seeks an experienced R&D Technical Lead to bridge AI/ML research and production-ready solutions. You will provide technical leadership across AI/ML and software engineering, guiding teams from early-stage concepts through successful customer delivery.

The ideal candidate combines a broad software engineering background with strong AI/ML expertise to translate models into scalable architectures and mentor development teams for real-world customer impact.

Qualifikationen

• 7+ years of professional ML experience with 3+ years in leadership from research to production.
• Proven track record in computer vision models for object tracking and real-time analytics.
• Strong programming in Python and high-performance languages; familiar with MLOps tools.

Aufgaben

• Provide technical leadership across AI/ML and software engineering from concept to customer delivery.
• Design and implement scalable software systems that integrate AI/ML capabilities.
• Architect multi-agent workflows to coordinate data collection across projects.
• Mentor engineers, conduct code reviews, and set MLOps production standards.
• Translate complex client requirements into AI/ML roadmaps.

Kenntnisse

ML/AI leadership

Team leadership

System architecture

Python

C++

Rust

Java

Docker

Kubernetes

Computer vision

Video analytics

Data lifecycle management

Communication

Ausbildung

Bachelor’s or above in Computer Science, AI, or related quantitative field

Tools

Docker

Kubernetes

Jobbeschreibung

Altamira Technologies Corp. seeks an experienced R&D Technical Lead to bridge AI/ML research and production-ready solutions. You will provide technical leadership across AI/ML and software engineering, guiding teams from early-stage concepts through successful customer delivery.

The ideal candidate combines a broad software engineering background with strong AI/ML expertise to translate models into scalable architectures and mentor development teams for real-world customer impact.