Applied AI Engineer
Core
Own the model lifecycle from research to production for AI-powered features like speech-to-text, entity extraction, and classification in fleet repair operations.
Role type
Applied AI Engineer (ML/NLP)
Builds
AI-powered features integrated into mobile and web products for fleet managers, technicians, and drivers
Domain
Commercial vehicle fleet repair and maintenance
Deliverable
production ML models
Required skills
Python, ML/NLP frameworks, speech-to-text systems, classification models, unstructured data processing
Preferred skills
Mobile-first or offline-first application experience, physical/built world AI experience
Technologies
Python, ML/NLP frameworks
Responsibilities
Design, train, and deploy AI models; integrate models into Axle's mobile and web products; monitor real-world performance and tune for accuracy, latency, and cost; prototype new AI capabilities from 0–1
Seniority
Mid-level, hands-on IC
