Location: USA | Remote: Yes | Start: Immediate

Role: Staff/Principal ML Engineer (1099/C2C; full- or part-time)

15+ years applied ML—from Los Alamos Labs to Fortune 500 production. PhD in Mathematics. $48M cost savings via MLOps unification; 30x faster RAG serving millions; unified ML platform adopted by 34 business units.

Specialty: Moving models from notebook to revenue: LLMs/RAG; MLOps (K8s/GitOps); high-scale serving.

Seeking: Staff-level IC role where ML/AI is core. I unblock the toughest issues and level up teams.

Email: paperaxis.refining795@simplelogin.com (email for full resume and references)