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Vetted MLOps Professionals

Pre-screened and vetted.

VG

Mid-level Machine Learning Engineer specializing in healthcare NLP and MLOps

USA6y exp
HumanaCalifornia State University, Long Beach
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RI

Junior AI/ML Engineer specializing in healthcare NLP and MLOps

Harrison, NJ3y exp
UnitedHealth GroupNJIT
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AY

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

USA4y exp
Morgan StanleyRochester Institute of Technology
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AG

Senior Data Scientist specializing in AWS ML solutions for healthcare, telecom, and e-commerce

NJ, USA7y exp
Johnson & JohnsonCentral Michigan University
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TS

Senior AI/ML & Data Science professional specializing in NLP, LLMs, and MLOps

Newark, Delaware10y exp
AlignerrUniversity of Central Punjab
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NY

Mid-level AI/ML Engineer specializing in MLOps, NLP/CV, and fraud detection

USA5y exp
JPMorgan ChaseEastern Illinois University
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VD

Senior Software Development Engineer specializing in full-stack web, cloud, and MLOps

USA9y exp
Proximate TechnologiesCleveland State University
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NM

Senior AI/ML Engineer specializing in LLMs, NLP, and production MLOps

Texas City, TX11y exp
HealtheeUniversity of York
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YT

Mid-level Python AI/ML Engineer specializing in Generative AI and MLOps

5y exp
Wells FargoTexas Tech University
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SP

Mid-level Machine Learning Engineer specializing in MLOps and healthcare analytics

MN4y exp
UnitedHealth GroupUniversity of Utah
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SM

Senior Full-Stack Engineer specializing in cloud-native microservices and AI solutions

Burlington, NC8y exp
LabcorpUniversity of Bridgeport
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SR

Mid-level Data Scientist specializing in ML, NLP, and cloud deployment

Columbus, OH4y exp
Capital OneClark University
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MN

Mid-level Data Analyst specializing in AI/ML and cloud analytics

Minneapolis, MN7y exp
Dell TechnologiesLagos State University
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ST

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

7y exp
CVS Health
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SD

Senior Data Scientist specializing in NLP, MLOps, and cloud ML platforms

Westfield Center, OH7y exp
Westfield Insurance
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SM

Sanjay Mamani

Screened ReferencesStrong rec.

Executive Technology Leader specializing in enterprise data, AI, and cloud analytics

Mooresville, USA26y exp
BridgetreeUniversity of North Carolina at Greensboro

25-year builder/operator who has scaled others' visions and led VC-backed startup incubation work (Saltmines). Built Bridgetree’s AI CoE from 0 to 1 and cites $20M+ measurable customer impact, with experience leading 110-person cross-disciplinary teams. Exploring a new venture idea (gotAgentic.ai) focused on agentic AI solutions such as AI-ready data prep, agentic SDLC teams, and front-office automation (scheduling/invoicing).

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MG

Mike Gardiner

Screened

Technology Executive / Engineering Director specializing in AI-driven platform transformation

Lehi, UT12y exp
VivintWeber State University

Built a 0-to-1 iOS mobile gardening application that helps users plan, track, and harvest crops with pest control guidance, weather, and climate-zone-based planting date recommendations. Demonstrated strong customer discovery and MVP-first product execution, including a major data challenge: compiling US climate zone data for every ZIP code from widely dispersed public sources into an app-ready database.

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CH

Mid-level AI/ML Engineer specializing in healthcare, risk modeling, and MLOps

Milwaukee, WI3y exp
UnitedHealth GroupUniversity of Wisconsin–Milwaukee

Robotics software engineer who built a ROS Noetic-based perception-to-control stack for a pick-and-place robotic arm, integrating OpenCV/TensorFlow vision with motion planning and PID tuning. Demonstrated strong real-time debugging skills (rosbag, queue/latency fixes) and experience deploying reproducible robotics environments with Gazebo simulation, Docker, and GitLab CI.

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VT

Mid-level GenAI/ML Engineer specializing in agentic AI and RAG systems

4y exp
WalmartUniversity of Central Missouri

Backend/platform engineer who has owned a Python/FastAPI results API and deployed it on Kubernetes with Helm and GitHub Actions-driven CI/CD. Demonstrates strong production operations mindset across performance tuning, monitoring, safe rollouts/rollbacks, and phased migrations, plus hands-on Kafka streaming experience focused on ordering and idempotency.

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