Machine Learning Engineer for Recommendation System -- 2
Budget: $10 – $30 USD
We are looking for an entry-level Machine Learning Engineer or a data scientist to assist in developing a recommendation system for our platform. The system will analyze user interactions, ratings, and product details to provide personalized recommendations and analyzing the data.
Responsibilities:
Develop and fine-tune machine learning models for item recommendations.
Work with user interaction data, ratings, and reviews to improve recommendations.
Preprocess and clean data to improve model accuracy.
Optimize algorithms for recommendations.
Work with databases to store and retrieve recommendation results.
Requirements:
Basic knowledge of machine learning and recommendation systems.
Proficiency in Python and libraries like scikit-learn, TensorFlow, or PyTorch.
Experience with data preprocessing and feature engineering.
Familiarity with SQL and NoSQL databases for handling user-item interactions.
Preferred Skills (Not Mandatory):
Experience with Flask for API development.
Knowledge of NLP techniques for analyzing user reviews.
Project Scope:
This is a short-term project with the possibility of ongoing work based on performance. If you're eager to gain hands-on experience in machine learning and build real-world recommendation systems, we'd love to hear from you!
Responsibilities:
Develop and fine-tune machine learning models for item recommendations.
Work with user interaction data, ratings, and reviews to improve recommendations.
Preprocess and clean data to improve model accuracy.
Optimize algorithms for recommendations.
Work with databases to store and retrieve recommendation results.
Requirements:
Basic knowledge of machine learning and recommendation systems.
Proficiency in Python and libraries like scikit-learn, TensorFlow, or PyTorch.
Experience with data preprocessing and feature engineering.
Familiarity with SQL and NoSQL databases for handling user-item interactions.
Preferred Skills (Not Mandatory):
Experience with Flask for API development.
Knowledge of NLP techniques for analyzing user reviews.
Project Scope:
This is a short-term project with the possibility of ongoing work based on performance. If you're eager to gain hands-on experience in machine learning and build real-world recommendation systems, we'd love to hear from you!