
Cryptocurrency Investment Research Specialist
2 days ago
Token Metrics is a cryptocurrency investment research platform driven by machine learning and artificial intelligence.
The company was founded in 2017 with the goal of providing innovative solutions for crypto investors. Our approach, inspired by Moneyball, has drawn thousands of customers worldwide who profitably play the crypto markets.
We are searching for a highly skilled machine learning engineer to optimize our machine learning systems. The ideal candidate will have solid data science knowledge and experience, with a strong background in machine learning algorithms and tools.
Key Responsibilities:- Evaluate existing machine learning processes and resolve data set problems through statistical analysis.
- Design and develop machine learning systems and self-running artificial intelligence (AI) to automate predictive models.
- Transform data science prototypes into practical applications using appropriate ML algorithms and tools.
- Ensure accurate user recommendations through algorithm development.
- Solve complex problems involving multi-layered data sets, optimize existing machine learning libraries, and develop new algorithms.
- Analyze large volumes of historical data to make predictions and stress test results for all market conditions.
- Document machine learning processes and stay up-to-date with the latest developments in machine learning.
- Bachelor's degree in computer science, mathematics, or a related field.
- Master's degree in data science 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.
- Opportunity to work on cutting-edge machine learning projects.
- Collaborative and dynamic work environment.
- Continuous learning and professional development opportunities.
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