April 30, 2023
• Develop a strong back-end architecture with high-processing data pipelines or machine learning models to reinforce the product • Develop efficient ML models using various programming languages, data structures, and algorithms with information retrieval and distributed computing concepts • Automate pipeline modeling and develop operational ranking models for classification • Test the effectiveness of ML models via thorough end-user research and experimentation • Generate solutions for data management issues through feature implementation
• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline • 2+ years of machine learning and engineering experience • Comprehensive knowledge in engineering, data science, statistics, and applied ML techniques for model production, deployment, and testing • Hands-on experience in SQL and NoSQL • Proficiency in Python • MLOps experience in model monitoring, CI/CD, and DVC (preferred) • Knowledge of ML techniques and algorithms such as supervised/unsupervised/reinforcement learning, classification, etc. • Knowledge of ML systems such as recommendation or ranking systems (preferred)
• Connect with companies that prioritize inclusion and growth • Collaborate with a highly talented and globally-diverse team • Engineer innovative, revolutionary solutions • Partner with employers who genuinely care about welfare and happiness of their employees
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