AI Engineer to Build Recommendation Engine
Skills Required
Description
Recommendation engines power some of the most engaging digital platforms, and this project aims to build one tailored for a growing product base.
The engineer will need strong expertise in Python as the primary language for model development and integration.
Deep learning techniques will be applied where traditional machine learning isn’t sufficient. The goal is to capture user behavior and provide highly personalized suggestions.
Responsibilities will include:
Designing and training models on historical datasets
Evaluating different algorithms for accuracy and scalability
Implementing feedback loops to refine recommendations
Data preprocessing is just as important as modeling. Cleaning, structuring, and labeling data will determine how effective the recommendations become.
Scalability is a major concern. The system must handle growth in both users and product offerings without breaking performance.
Continuous evaluation is required. Models should be tested against accuracy, recall, and precision benchmarks to ensure meaningful results.
Other tasks in scope:
Integrating the engine into existing APIs
Documenting workflows for future iterations
Collaborating with frontend developers for seamless delivery
Since this project has a relatively short timeline, efficiency will matter. The engineer must balance experimentation with practical delivery.
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