Crypto Data Scientist / Machine Learning Engineer
Description For Crypto Data Scientist / Machine Learning Engineer
Token Metrics is seeking a skilled Machine Learning Engineer to enhance their AI-powered crypto investment platform. This role combines cutting-edge ML engineering with cryptocurrency market analysis, offering a unique opportunity to impact the future of crypto investing.
The position involves designing and optimizing machine learning systems that power predictive models for crypto portfolio management. You'll be working with large-scale data sets, implementing sophisticated ML algorithms, and ensuring the accuracy of user recommendations. The role requires expertise in Python, Java, and R, along with a strong foundation in mathematics and statistics.
Token Metrics serves crypto investors and fund managers across 50+ countries, providing AI-based crypto indices, rankings, and price predictions. As a Machine Learning Engineer, you'll be crucial in enhancing these tools' predictive capabilities and maintaining their reliability across various market conditions.
The ideal candidate brings 2+ years of ML engineering experience, with strong analytical and problem-solving skills. You'll need to be comfortable with LLM fine-tuning and observability, while maintaining excellent communication skills to collaborate effectively with the team.
This remote position offers the flexibility to work from Egypt while contributing to a global platform that's shaping the future of crypto investment. Join Token Metrics to apply your ML expertise in the dynamic intersection of artificial intelligence and cryptocurrency markets.
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
- LLM fine-tuning experience and working with LLM Observability
- 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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