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Bring research to life, deploy engineers who transform algorithms into scalable, reliable applications.
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Featured Research & Engineering Experts

Meet Our Top ML & Deep Learning Engineers

Dr. Anya Sharma

Seattle, USA | 10+ Years

Experience

$235/hr

  • (5.0/5)
Expert in optimizing complex deep neural networks for edge devices and high-performance computing.
Deep Learning
Computer Vision
Model Optimization
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Alex Torres

Toronto, Canada | 9+ Years 

Experience

$220/hr 

  • (4.9/5)
Skilled in transforming research prototypes into robust, production-grade machine learning applications.
Machine Learning Engineering
Predictive Analytics
MLOps Implementation
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Isha Rahman

Bangalore, India | 8+ Years 

Experience

$205/hr

  • (4.8/5)
Expert in fine-tuning and integrating LLMs for specific business use cases, from summarization to code generation.
NLP Engineering
Text Generation
Large Language Model (LLM) Integration
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Top Featured Research & Engineering Projects

From Research to Results

Real-time Fraud Detection System Development

Category: Machine Learning Engineering 

A major fintech startup hired a Machine Learning Engineer to build and deploy a real-time fraud detection system, significantly reducing fraudulent transactions. 

Budget: $55,000

Duration: 5 months

Remote (Global)

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AI-Driven Material Discovery Platform 

Category: Applied AI Research 

A materials science firm engaged an Applied AI Scientist to create an AI platform for predicting and designing novel materials with specific properties, accelerating R&D by 30%. 

Budget: $65,000

Duration: 7 months

Remote (USA)

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Advanced Image Classification for Manufacturing Quality Control 

Category: Deep Learning Engineering 

An industrial client engaged a Deep Learning Engineer to develop an AI vision system for automated defect detection on their production line, improving quality control efficiency. 

Budget: $60,000

Duration: 6 months

Remote (Europe) 

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Real Impact. Real Results. That Speaks for Itself

“The Machine Learning Engineer we found quickly deployed a robust predictive model that delivered immediate business value. Their engineering skills were top-notch.”
Luis Fernández
Luis FernándezCTO, Logistics Startup
“Our Deep Learning Engineer transformed our research prototype into a highly efficient production system. They bridged the gap between cutting-edge theory and practical application beautifully.”
Janet Kim
Janet KimHead of AI, Gaming Studio

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You’ve Got Questions, We’ve Got Answers

Data Scientists explore data and build models. ML Engineers take those models and make them work in the real world; scaling, deploying, and maintaining them in production.
From image classifiers and NLP models to recommendation engines and generative AI, they build and launch solutions tailored to your business needs.
Absolutely. They fine-tune models to be faster, cheaper, and more efficient, cutting cloud costs while improving accuracy.
By using MLOps best practices, cloud infrastructure, and real-time monitoring to keep models stable, scalable, and production-ready.
Expertshub vets top AI engineers who not only understand tech but also your industry’s challenges, so you can hire with confidence and move faster.

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