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, based in Athens.
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 foundations in Python, Java, and R. Your work will involve designing and implementing ML systems, working with large-scale data sets, and ensuring our algorithms provide accurate recommendations to users across more than 50 countries.
What makes this role unique is the opportunity to work at the intersection of AI and cryptocurrency, applying cutting-edge machine learning techniques to real-world financial applications. You'll be part of a team that's pushing the boundaries of what's possible in crypto investment analysis, working with modern technologies including LLM fine-tuning and observability.
The position offers the flexibility of remote work while being part of a company that's making a significant impact in the crypto investment space. If you're passionate about machine learning, cryptocurrency, and want to be part of a team that's helping investors build profitable portfolios through AI-driven insights, this role presents an excellent opportunity for professional growth and impact.
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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