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1 week ago
Crypto Data Scientists design and optimize machine learning systems to automate predictive models for our cryptocurrency investment research platform.
About the Role- We're seeking a highly capable machine learning engineer to evaluate existing ML processes, resolve data set problems, and enhance the accuracy of our AI software's predictive automation capabilities.
- The ideal candidate will have solid data science knowledge and experience in designing and implementing machine learning systems.
- Consult with senior management to determine and refine machine learning objectives.
- Design and develop self-running artificial intelligence (AI) to automate predictive models.
- Transform data science prototypes into production-ready code using appropriate ML algorithms and tools.
- Solve complex problems with multi-layered data sets and optimize existing machine learning libraries and frameworks.
- Develop ML algorithms to analyze huge volumes of historical data to make predictions.
- Stress test, perform statistical analysis, and interpret test results for all market conditions.
- 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.
This is an exciting opportunity to join a dynamic team and contribute to the development of innovative machine learning solutions.
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