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Vetted Azure Machine Learning Professionals

Pre-screened and vetted.

FW

Staff-level Software Engineer specializing in LLM inference infrastructure and scalable model serving

San Pablo, California11y exp
OpenAINorthwestern University
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AS

Executive AI/ML Engineer specializing in LLMs, NLP, and production ML systems

AZ, United States16y exp
Tempus AIUniversity of Washington
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SB

Mid-level Machine Learning Engineer specializing in NLP, MLOps, and Generative AI

4y exp
OpenAIFlorida State University

Built and deployed a production LLM conversational AI system at OpenAI supporting chat, summarization, and semantic search at 1M+ requests/day, driving major latency (40%) and accuracy (25%) improvements through Pinecone optimization and tighter RAG with re-ranking. Also has Amazon experience improving recommendation systems by translating ML metrics into business terms to boost CTR and conversions, with strong MLOps/orchestration depth (Airflow, MLflow, SageMaker, Kubeflow).

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WO

Staff AI Full-Stack Engineer specializing in LLMs, multi-agent systems, and Voice AI

Gilbert, AZ10y exp
DriveHealthStanford University
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DG

Mid-level Full-Stack Developer specializing in Java/Spring Boot and React

Seattle, WA5y exp
ShopifySaint Louis University

NVIDIA engineer who built and shipped a production LLM-powered enterprise knowledge system (summarization, transcription, and Q&A) that cut document retrieval time ~30%. Deep hands-on experience with RAG (FAISS/Pinecone), GPU-accelerated microservices on AWS, and reliability/safety practices (Guardrails AI, prompt A/B testing, canary releases) plus strong MLOps orchestration across Airflow, Step Functions, and Kubernetes GitOps.

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SF

Executive AI/IoT Engineering Leader specializing in full-stack and edge AI systems

San Luis Obispo, CA20y exp
AI LabCornell University
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AR

Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps

USA6y exp
MetaSaint Louis University
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SR

Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal systems

San Francisco, CA7y exp
Scale AIConcordia University Wisconsin
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SS

Senior Machine Learning Engineer specializing in LLMs and scalable MLOps

San Francisco, CA7y exp
MetaIndiana University
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SN

Mid-level AI/ML Engineer specializing in LLMs, NLP, and MLOps

Seattle, WA6y exp
OpenAIConcordia University Wisconsin
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DG

Senior Software Engineer specializing in cloud architecture and AI/ML

Bellevue, WA15y exp
MicrosoftUSC
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RG

Senior AI/ML Engineer specializing in LLMs, RAG, and MLOps

San Francisco, CA7y exp
PerplexitySaint Louis University
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NR

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps

Dallas, TX6y exp
OpenAIUniversity of Texas at Dallas
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VS

Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and scalable inference

Seattle, WA6y exp
MetaNortheastern University
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VK

Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable MLOps

Cupertino, CA5y exp
OpenAIUniversity of North Carolina at Charlotte
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DG

Senior Software Engineer specializing in cloud architecture and machine learning

Bellevue, WA15y exp
MicrosoftUSC
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ZM

Mid-level AI/ML Engineer specializing in generative AI, LLMs, and MLOps

Los Angeles, CA6y exp
NVIDIACalifornia State University, Dominguez Hills
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BP

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps

Austin, TX5y exp
MetaTexas A&M University-Kingsville
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SM

Mid-level Machine Learning Engineer specializing in LLMs, generative AI, and MLOps

San Francisco, CA5y exp
Scale AIConcordia University Wisconsin

Built and shipped a production LLM-powered medical scribe that generates structured clinical visit summaries using RAG, strict JSON schemas, and post-generation validation to reduce hallucinations. Experienced in making LLM workflows deterministic and observable (structured logging/metrics/tracing) and in evaluation-driven iteration with metrics like schema pass rate and edit rate; collaborated closely with clinicians and policy stakeholders at Scale AI to drive adoption.

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