Crypto Data Scientist / Machine Learning Engineer (Malaysia-Remote)

Posted 8 Hours Ago
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Hiring Remotely in Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur
Remote
Junior
Blockchain • Machine Learning • Analytics • Cryptocurrency
The Role
The Crypto Data Scientist/Machine Learning Engineer will optimize machine learning systems, evaluate existing ML processes, and enhance the predictive capabilities of AI software. Responsibilities include designing ML systems, transforming data science prototypes, optimizing algorithms, conducting statistical analyses, and documenting processes.
Summary Generated by Built In

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.

Responsibilities

  • Consulting with the manager to determine and refine machine learning objectives.
  • Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models.
  • Transforming data science prototypes and applying appropriate ML algorithms and tools.
  • Ensuring that algorithms generate accurate user recommendations.
  • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
  • Developing ML algorithms to analyze huge volumes of historical data to make predictions.
  • Stress testing, performing statistical analysis, and interpreting test results for all market conditions.
  • Documenting machine learning processes.
  • Keeping abreast of 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 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.

About Token Metrics


Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions. 


Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.

Top Skills

Java
Python
R
The Company
Austin, TX
45 Employees
On-site Workplace
Year Founded: 2018

What We Do

Token Metrics is a cryptocurrency investment research platform that’s driven by machine learning and artificial intelligence. The company was founded by Ian Balina in 2017 as he traded his way from $20,000 to more than $5 million, logging all his trades in a public-facing spreadsheet that drew more than a million unique visitors per month. Ian’s Moneyball-style approach to crypto investing now forms the basis of the Token Metrics platform, which now helps thousands of customers around the world profitably play the crypto markets.

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