Crypto Machine Learning Specialist

16 hours ago

Calamba, Calabarzon, Philippines beBeeMachineLearning Full time $80,000 - $150,000
Crypto Data Scientist Job Opportunity

Our company utilizes machine learning and artificial intelligence to deliver a cryptocurrency investment research platform. This innovative approach was pioneered by Ian Balina in 2017, logging all trades in a public-facing spreadsheet that attracted over a million unique visitors per month. Building upon this Moneyball-style methodology, we now help thousands of customers worldwide profitably navigate the crypto markets.

We are seeking an experienced machine learning engineer to optimize our machine learning systems. Your role will involve evaluating existing ML processes, conducting statistical analysis to resolve dataset issues, and enhancing the accuracy of our AI software's predictive automation capabilities. As a successful machine learning engineer, you should possess strong data science knowledge and experience.

Key Responsibilities
  • Collaborating with the management team to determine and refine machine learning objectives.
  • Designing machine learning systems and self-running AI to automate predictive models.
  • Transforming data science prototypes into practical solutions using appropriate ML algorithms and tools.
  • Ensuring that algorithms generate accurate user recommendations.
  • Solving complex problems with multi-layered datasets, as well as optimizing existing machine learning libraries and frameworks.
  • Developing ML algorithms to analyze large volumes of historical data to make predictions.
  • Stress testing, performing statistical analysis, and interpreting test results for all market conditions.
  • Documenting machine learning processes.
  • Staying 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 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.
Benefits

This is a highly competitive position offering exceptional opportunities for growth and development. If you have the necessary skills and qualifications, we encourage you to apply.

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