Crypto Data Scientist / Machine Learning - LLM Engineer
Description For Crypto Data Scientist / Machine Learning - LLM Engineer
Token Metrics is a pioneering company in the cryptocurrency investment space, leveraging artificial intelligence to help investors make informed decisions through crypto indices, rankings, and price predictions. We're currently seeking a talented Machine Learning Engineer to join our team in a remote capacity.
The role combines expertise in machine learning, data science, and cryptocurrency, focusing on optimizing our ML systems and enhancing predictive models. As our ML Engineer, you'll be at the forefront of developing and implementing sophisticated machine learning solutions that directly impact our users' investment decisions.
The ideal candidate brings at least two years of ML engineering experience, with strong proficiency in Python, Java, and R. What sets this role apart is the unique opportunity to work with cutting-edge LLM technologies while applying ML concepts to cryptocurrency markets. You'll be responsible for designing self-running AI systems, transforming data science prototypes, and ensuring our algorithms provide accurate recommendations.
This position offers the flexibility of remote work while being part of a company that serves crypto fund managers and retail investors across 50+ countries. If you're passionate about machine learning, cryptocurrency, and want to contribute to a platform that's reshaping how people make investment decisions, this role presents an exciting opportunity to make a significant impact in the intersection of AI and crypto finance.
Responsibilities For Crypto Data Scientist / Machine Learning - LLM 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 - LLM 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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