Data Science and Machine Learning Engineer

1 day ago

Mandaue City, Central Visayas, Philippines beBeeMachine Full time ₱500,000 - ₱1,000,000
Crypto Data Scientist Job Opportunity

Token Metrics is a pioneering cryptocurrency investment research platform driven by cutting-edge machine learning and artificial intelligence technologies. Founded in 2017, the company was created by Ian Balina as he traded his way from $20,000 to over $5 million, logging all his trades in a publicly accessible spreadsheet that attracted more than a million unique visitors per month.

The company's Moneyball-style approach to crypto investing now forms the basis of the Token Metrics platform, which provides thousands of customers worldwide with actionable insights to profitably navigate the crypto markets.

Job Overview

We are seeking a highly skilled machine learning engineer to optimize our machine learning systems. As a machine learning engineer, you will be responsible for evaluating existing machine learning processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

Key Responsibilities:
  • Collaborate with management to determine and refine machine learning objectives.
  • Design and develop machine learning systems and self-running artificial intelligence (AI) to automate predictive models.
  • Transform data science prototypes into production-ready solutions using appropriate ML algorithms and tools.
  • Ensure that algorithms generate accurate user recommendations.
  • Solve complex problems involving multi-layered data sets, optimize existing machine learning libraries and frameworks, and develop ML algorithms to analyze large volumes of historical data to make predictions.
  • Perform stress testing, statistical analysis, and interpret test results for all market conditions.
  • Document machine learning processes.
  • Stay up-to-date with developments in machine learning.
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 may 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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