Responsibilities

• Responsible for the creation, identification, development, and continuous evolution of the comapnys machine learning based algorithmsCommunicate roadblocks, issues, and limitations related to algorithm development and make recommendations on creative solutions to build the product platform.Identify and deploy the best machine learning strategies, including when to use which strategy, such as supervised, unsupervised, semi-supervised, or reinforcement learning.
• Drive the associated data strategy, including sources, organization, collection, and extraction for use in the development and continuous evolution of matching algorithms.Apply advanced statistical techniques such as principal component analysis (PCA), hypothesis testing, outlier detection, and feature selection methods (e.g., mutual information) to clean, transform, and curate datasets for optimal performance in machine learning models.
• Work closely with the Engineering team to understand the optimal timing of integrating and validating developed algorithms in our products throughout the entire software development lifecycle, from concept to product.