Smarter AI. Hyper-Personalized Results.
Partner with experienced ML professionals who design, develop, and deploy intelligent systems that drive business transformation.
Skill Tags
Recommender Systems
Deep expertise in collaborative filtering, content-based, and advanced hybrid recommendation models.
Machine Learning for Personalization
Apply regression, classification, ranking, and deep learning techniques to tailor user experiences.
A/B Testing & Experimentation
Design, execute, and rigorously analyze tests to measure direct impact and uplift on KPIs.
Model Evaluation (Precision, NDCG, MAP)
Utilize personalization-specific metrics to accurately benchmark and optimize model performance.
ML Pipelines & Feature Stores
Automate training, deployment, and robust feature engineering for continuous personalization.
Browse AI Personalization Experts by Domain
Personalization Engineers
Recommendation System Architects
User Data
Scientists
Product ML
Specialists
AI Optimization Engineers
Why Businesses Hire Personalization Experts on Expertshub.ai
Measurable Business Impact
From higher engagement to increased conversions —our experts personalize for outcomes, not just algorithms.
Built for Scale & Real-World Data
Hire engineers who know how to deploy personalization models across millions of users and events.
Hire Risk-Free
Post your role, receive curated profiles — pay only when you hire.
Drive Retention and Revenue with Personalized AI
Whether you’re building a product feed, content recommender, or dynamic pricing engine, AI personalization experts help you:
Deliver 1:1 experience at scale
Improve CTRs, conversions, and time on site
Continually optimize with experimentation and feedback loops
Top AI Personalization Engineers Available for Hire
Discover Leading AI Personalization Professionals
Marcus Chen
San Francisco, USA | 11+ Years Experience
$145/hr
- (4.9/5)
Built real-time recommender system for an e-commerce platform serving 20M users
Anita Patel
London, UK | 8+ Years
Experience
$125/hr
- (5.0/5)
Designed robust ML pipeline with automated model retraining
Diego Rodriguez
São Paulo, Brazil | 6+ Years
Experience
$90/hr
- (4.8/5)
Applied deep learning to tackle cold-start issues in fashion recommendation
FAQs
What does an AI Personalization Engineer do?
An AI Personalization Engineer designs, builds, and optimizes intelligent systems that deliver tailored content, products, or experiences to individual users based on their behavior, preferences, and contextual data, often using machine learning.
How do I choose the right recommendation strategy for my platform?
The best strategy depends on your data, product type, and business goals. Engineers consider collaborative filtering (user-user, item-item), content-based methods, hybrid approaches, and deep learning models to find the optimal fit.
Can personalization be deployed in real-time systems?
Yes, many personalization engineers specialize in building real-time systems that process user events instantly, updating profiles and recommendations dynamically to provide immediate, contextually relevant experiences.
What are the most important KPIs and metrics?
Key performance indicators (KPIs) include Click-Through Rate (CTR), conversion rate, Average Order Value (AOV), user engagement (e.g., time on site, sessions), retention, and specific personalization metrics like Precision@K or NDCG.
How do personalization models handle privacy and data governance?
Personalization engineers implement robust data governance practices, anonymization techniques, and comply with privacy regulations (like GDPR, CCPA) by focusing on aggregated behavioral data, respecting user consent, and designing privacy-aware models.