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MLOps Experts - Build, Scale & Automate AI Systems

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Featured MLOps Experts

Meet Top-Rated Platform, Deployment & Edge AI Engineers

Lina Grigorev

Berlin, Germany | 9+ Years 

Experience

$110/hr

  • (5.0/5)
Expert in orchestrating ML workflows using Airflow, Kubeflow, and Vertex AI
AI Platforms
ML Tooling
Training Pipelines
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Daniel Mwangi

Nairobi, Kenya | 6+ Years
Experience

$95/hr 

  • (4.9/5)
Deep expertise in weak supervision, active learning, and annotation ops
Data-Centric AI
Labeling Pipelines
Data Iteration Loops
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Sophia Yoon

San Francisco, USA | 8+ Years 

Experience

$120/hr

  • (5.0/5)
Scaled ML deployment workflows for a Fortune 500 retail AI platform
Model Deployment
CI/CD for ML
Real-Time Inference
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Top Featured MLOps Projects

AI Platform for Insurance Claims Automation 

Category: AI Platform Engineering 

A US-based insurer hired a Platform Engineer to build a modular AI infrastructure for document classification and fraud detection models. 

Budget: $35,000

Duration: 3 months

Remote (USA) 

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Active Learning Pipeline for Retail Vision Model 

Category: Data-Centric AI

A fashion tech company engaged a Data-Centric AI Engineer to design a labeling-feedback loop that cut annotation costs by 40%.

 

Budget: $18,000

Duration: 6 weeks

London, UK

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Edge Deployment for Smart Home Assistant 

Category: Edge AI Engineering 

Consumer electronics brand hired an Edge AI Engineer to optimize their NLP pipeline for low-latency, on-device execution. 

 

Budget: $22,000

Duration: 2 months

Remote (Europe)

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Real Impact. Real Results.

“Our entire platform infrastructure matured in 8 weeks with the engineer we found on ExpertsHub.ai.”
Victor Park
Victor ParkML Ops Director, InnoBank
“Edge AI was a challenge — we got real-time performance with expert guidance and no compromises.”
Elena Ruiz
Elena RuizVP Product, IoTTech Inc.

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You’ve Got Questions, We’ve Got Answers

Absolutely. Our platform engineers are experts at architecting bespoke AI systems from the ground up, leveraging modular, cloud-native, and hybrid solutions tailored precisely to your needs.
Yes, we specialize in this. Our dedicated Edge AI engineers excel at optimizing models for real-time inference on mobile, hardware-constrained, and various embedded devices, ensuring peak performance.
Certainly. Our Data-Centric AI Engineers are specialists in designing iterative feedback loops, implementing weak supervision techniques, and managing large-scale labeling operations for maximum efficiency and accuracy.
They do. Our engineers routinely work with industry-standard tools and frameworks such as Seldon, BentoML, FastAPI, Kubernetes, and other production-ready stacks, ensuring smooth integration into your existing systems.

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