AI Engineer for Custom Recommendation Engine
Skills Required
Description
Building intelligent systems that understand user behavior and deliver accurate, real-time recommendations is the focus of this role. The AI Engineer for Custom Recommendation Engine will lead the creation of a high-performance model designed to personalize user experiences and improve engagement metrics across digital platforms.
The position involves working with large datasets to analyze patterns, user preferences, and behavioral trends. By leveraging deep learning and machine learning frameworks, you’ll architect algorithms that evolve and refine results based on continuous feedback.
Every decision you make will shape the backbone of a system that powers personalized content delivery. Whether the data relates to e-commerce, streaming, or digital marketing, your goal will be to ensure recommendations feel intelligent, timely, and highly relevant.
Using Python, TensorFlow, and Scikit-learn, you’ll be responsible for designing, training, and deploying models that adapt to evolving datasets. Strong experience with Pandas and feature engineering will be essential for cleaning, transforming, and preparing complex inputs efficiently.
You’ll collaborate with data scientists, backend developers, and product managers to ensure model outputs integrate seamlessly into real-world applications. Cross-team communication will be key to maintaining both accuracy and performance benchmarks throughout the development lifecycle.
This project requir...