Token Metrics
Token Metrics is a cryptocurrency investment research firm that leverages artificial intelligence and machine learning to provide detailed insights on over 6,000 crypto and NFT projects. This company offers a suite of automated products designed to optimize cryptocurrency investment journeys, including analytics platforms and AI-driven tools. Token Metrics helps investors make informed decisions by offering real-time data, analytics, investment strategies, and educational resources in the volatile world of cryptocurrencies. Their cybersecurity team ensures robust security measures are in place to protect client data and privacy.
Token Metrics • Cryptocurrencies • Blockchain • Investing • Technical Analysis
Crypto Data Scientist - Machine Learning Engineer
October 25, 2024
Token Metrics
Token Metrics is a cryptocurrency investment research firm that leverages artificial intelligence and machine learning to provide detailed insights on over 6,000 crypto and NFT projects. This company offers a suite of automated products designed to optimize cryptocurrency investment journeys, including analytics platforms and AI-driven tools. Token Metrics helps investors make informed decisions by offering real-time data, analytics, investment strategies, and educational resources in the volatile world of cryptocurrencies. Their cybersecurity team ensures robust security measures are in place to protect client data and privacy.
Token Metrics • Cryptocurrencies • Blockchain • Investing • Technical Analysis
📋 Description
•Token Metrics is searching for a highly capable machine learning engineer to optimize our machine learning systems. •You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities. •As a machine learning engineer, you should demonstrate solid data science knowledge and experience. •A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive models.
🎯 Requirements
•Bachelor's degree in computer science, data science, mathematics, or a related field. •Master’s degree in computational linguistics, data science, data analytics, or similar will be advantageous. •At least two years' experience as a machine learning engineer. •Advanced proficiency with Python, Java, and R code. •Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. •In-depth knowledge of mathematics, statistics, and algorithms. •Superb analytical and problem-solving abilities. •Great communication and collaboration skills. •Excellent time management and organizational abilities.
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