Crypto Data Scientist / Machine Learning Engineer
Description For Crypto Data Scientist / Machine Learning Engineer
Token Metrics is at the forefront of crypto investment technology, helping investors across 50+ countries build profitable portfolios through AI-powered insights. We're seeking a talented Machine Learning Engineer to join our innovative team in optimizing our ML systems. This role combines the exciting worlds of cryptocurrency and artificial intelligence, offering a unique opportunity to work on cutting-edge predictive models.
As our ML Engineer, you'll be instrumental in designing and implementing sophisticated machine learning systems that power our predictive analytics. You'll work with complex data sets, optimize AI algorithms, and ensure our recommendations maintain high accuracy across various market conditions. The role requires both technical expertise in ML/AI and an understanding of the cryptocurrency market dynamics.
The ideal candidate brings at least 2 years of ML engineering experience, strong programming skills in Python and Java, and a deep understanding of machine learning frameworks and statistical analysis. You'll be working in a remote environment with a diverse, global team, contributing to a platform that's reshaping how investors approach cryptocurrency investments.
This position offers the flexibility of remote work while being part of a fast-growing company in the intersection of AI and crypto finance. You'll have the opportunity to solve complex problems, work with cutting-edge technology, and directly impact the success of crypto investors worldwide. If you're passionate about machine learning, cryptocurrency, and want to be part of a company that's revolutionizing investment strategies through AI, this role offers an exciting career path.
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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