Crypto Data Scientist / Machine Learning - LLM Engineer (Global - Remote - Non.US)

extra holidays - extra parental leave
Work set-up: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
United States

Offer summary

Qualifications:

Bachelor's degree in computer science, data science, mathematics, or related field., At least two years of experience as a machine learning engineer., Proficiency in Python, Java, and R programming languages., Knowledge of ML frameworks, libraries, data structures, and algorithms..

Key responsibilities:

  • Designing and refining machine learning systems and AI models.
  • Transforming prototypes into production-ready solutions and ensuring accurate recommendations.
  • Analyzing large datasets to develop predictive algorithms.
  • Performing statistical analysis and documenting machine learning processes.

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Token Metrics Startup https://tokenmetrics.com
11 - 50 Employees
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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.
  • LLM fine-tuning experience and working with LLM Observability
  • 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.
  • Experience with crypto or web3 projects
    • 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

    Level of experience: Mid-level (2-5 years)
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    Java (Programming Language)Machine LearningPython (Programming Language)R (Programming Language)Data StructuresData ModelingStatistical AnalysisSoftware ArchitectureAlgorithm AnalysisObservabilityWeb 3.0

    Other Skills

    • Collaboration
    • Communication
    • Analytical Skills
    • Time Management
    • Organizational Skills
    • Problem Solving
    Are you interested?

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