Artificial Intelligence (AI) Engineer, Video Analytics, Onsite in Charlotte, NC
Charlotteonsitemid
Posted today · via Smartrecruiters
About this role
Artificial Intelligence (AI) Engineer, Video Analytics, Onsite in Charlotte, NC The Artificial Intelligence (AI) Engineer, Video Analytics will work with a team that builds GPU‑accelerated video analytics for real‑time safety monitoring across large fleets and industrial environments. The system processes high‑volume video streams, runs YOLO‑based detection models, performs temporal tracking and smoothing to reduce false positives, and identifies actionable safety violations. Inference results are published to downstream APIs and integrated with Azure Event Hub, Blob Storage, and cloud monitoring systems. If you enjoy pushing GPU performance limits, crafting resilient Machine Learning (ML) pipelines, and building real‑world safety applications that make an impact, you will fit right in.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, grpc, restful, azure, docker…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Charlotte. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythongrpcrestfulazuredockerpytorch
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