Crypto Data Scientist / Machine Learning Engineer
Description For Crypto Data Scientist / Machine Learning Engineer
Token Metrics is a cutting-edge company that leverages artificial intelligence to help crypto investors build profitable portfolios through crypto indices, rankings, and price predictions. With a global presence serving customers in over 50 countries, from retail investors to crypto fund managers, we're seeking a talented Machine Learning Engineer to join our team.
The role offers a unique opportunity to work at the intersection of cryptocurrency, AI, and financial technology. As our Machine Learning Engineer, you'll be instrumental in optimizing our ML systems, performing statistical analysis, and enhancing our AI software's predictive capabilities. You'll work on sophisticated problems involving multi-layered data sets and be responsible for developing and implementing ML algorithms that power our predictive models.
The ideal candidate brings a strong foundation in computer science or related fields, with at least two years of hands-on machine learning experience. Your expertise in Python, Java, and R, combined with deep knowledge of ML frameworks and statistical analysis, will be crucial in developing and maintaining our AI-driven solutions. You'll have the opportunity to work remotely while collaborating with a dynamic team dedicated to revolutionizing crypto investment strategies.
This position offers the perfect blend of technical challenge and real-world impact, as your work will directly influence how investors make decisions in the cryptocurrency market. If you're passionate about machine learning, cryptocurrency, and want to be part of a company that's shaping the future of digital asset investment, this role presents an exciting opportunity to make your mark in the industry.
Responsibilities For Crypto Data Scientist / Machine Learning Engineer
- 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 and optimizing existing machine learning libraries
- 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 For Crypto Data Scientist / Machine Learning Engineer
- 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
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