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

extra holidays - extra parental leave
Remote: 
Full Remote
Contract: 
Full time
Work from: 
Egypt

Offer summary

Qualifications:

Bachelor's degree in computer science, data science or related field, Master's degree in data science or similar is advantageous, At least two years' experience as a machine learning engineer, Advanced proficiency with Python, Java, and R.

Key responsabilities:

  • Consulting on machine learning objectives
  • Designing ML systems to automate predictive models
Token Metrics logo
Token Metrics Startup https://tokenmetrics.com
11 - 50 Employees
About Token Metrics
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. Get our Crypto Investing Guide for FREE at: http://tmt.link/book-li
See more Token Metrics offers

Job 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.

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.

    Required profile

    Experience

    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    Java (Programming Language)Python (Programming Language)R (Programming Language)Machine LearningAlgorithmsData ModelingSoftware ArchitectureStatisticsData StructuresComputational LinguisticsData Mining

    Other Skills

    • Mathematics
    • Problem Solving
    • Collaboration
    • Communication
    • Analytical Skills
    • Time Management
    • Organizational Skills
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