Data Science Expert

2 days ago

Gujranwala, Punjab, Pakistan beBeeMachineLearningEngineer Full time $80,000 - $120,000
Job Description

We are seeking a skilled machine learning engineer to enhance our predictive automation capabilities.

You will evaluate existing ML processes, perform statistical analysis to resolve data set problems, and optimize the accuracy of our AI software.

A first-class machine learning engineer will translate expertise into improved predictive model performance.

Responsibilities
  • Evaluating machine learning objectives in consultation with management.
  • Designing and implementing self-running artificial intelligence (AI) to automate predictive models.
  • Transforming data science prototypes into scalable solutions using appropriate ML algorithms and tools.
  • Ensuring accurate user recommendations from ML algorithms.
  • Solving complex problems with multi-layered data sets and optimizing existing ML libraries and frameworks.
  • Developing ML algorithms to analyze huge volumes of historical data for predictions.
  • Stress testing and interpreting test results for all market conditions.
  • Documenting machine learning processes for knowledge sharing.
  • Staying up-to-date with developments in machine learning.
Requirements
  • Bachelor's degree in computer science, mathematics, or a related field.
  • Master's degree in computational linguistics, 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, 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 Our Organization

We help crypto investors build profitable portfolios using AI-based crypto indices, rankings, and price predictions.

We have a diverse set of customers, from retail investors and traders to crypto fund managers, across multiple countries.

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