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 remotely from Albania.
As our Machine Learning Engineer, you'll be at the forefront of optimizing our ML systems, with a particular focus on LLM engineering. The role combines the exciting worlds of cryptocurrency, artificial intelligence, and predictive modeling. You'll be working on sophisticated machine learning systems that directly impact our users' investment decisions across more than 50 countries.
The ideal candidate brings at least two years of ML engineering experience, with strong capabilities in Python, Java, and R. Your expertise in LLM fine-tuning and observability will be crucial as we continue to enhance our AI-driven solutions. You'll be working with complex data sets, developing and optimizing algorithms, and ensuring our predictive models maintain high accuracy.
This is an excellent opportunity for someone passionate about both cryptocurrency and machine learning, offering the flexibility of remote work while being part of a company that's making a real impact in the crypto investment space. You'll be joining a diverse team serving customers ranging from retail investors to crypto fund managers, contributing to a platform that's revolutionizing how people make cryptocurrency investment decisions.
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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