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AI Engineer for Personalized Product Recommendations

AI Engineer for Personalized Product Recommendations

Our pre-vetted AI Engineers specialize in building personalized product recommendation systems that maximize sales and enhance customer experiences.

They think like founders, delivering high-impact AI solutions that drive real results.

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AI Engineer for Personalized Product Recommendations
About Our Engineers

An experienced AI Engineer specializing in personalized product recommendations to increase e-commerce sales and customer engagement. With expertise in machine learning, predictive analytics, and AI automation, this engineer helps businesses enhance user experiences, boost conversions, and drive revenue growth.

Key Expertise & Skills
Personalized Product Recommendations
AI-Powered Personalization
Customer Segmentation
Predictive Analytics
Machine Learning
Dynamic Pricing
AI-Driven A/B Testing
Recommendation Algorithms
NLP for E-commerce
Fraud Detection
Technologies & Tools
Python
TensorFlow
PyTorch
Scikit-learn
OpenAI GPT
Google Cloud AI
AWS AI Services
Google Analytics
Tableau
Power BI
Shopify AI
Magento AI
BigQuery
MySQL
PostgreSQL
Projects Our Engineers Have Worked On
  • AI-Powered Product Recommendation System – Designed a machine learning recommendation engine that improved conversion rates by 30% by delivering hyper-personalized product suggestions based on browsing history and purchase behavior.

    Dynamic Pricing Optimization Model – Built an AI-driven pricing engine that automatically adjusts product prices in real-time, leading to an 18% revenue increase by considering competitor pricing, customer demand, and purchase trends.

    AI Chatbot for Smart Shopping Assistance – Developed an NLP-powered chatbot for an e-commerce platform that enhanced customer engagement by 50%, assisting users with product discovery, order tracking, and personalized recommendations.

    Fraud Detection & Prevention System – Implemented an AI-powered fraud detection model that reduced fraudulent transactions by 40% through predictive analytics and behavioral analysis.

    AI-Driven A/B Testing for UX Optimization – Created an intelligent A/B testing tool that optimized UI/UX decisions by analyzing user behavior patterns, resulting in a 35% boost in customer retention and engagement.
Who Should Hire This Engineer?
E-commerce Businesses
Online Retailers
Digital Marketing Agencies
Subscription-Based Services
Direct-to-Consumer (DTC) Brands
SaaS Companies
AI-Powered Customer Engagement Platforms