Crypto Data Scientist / Machine Learning - LLM Engineer (Global - Remote - Non.US)

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. Experience with crypto or web3 projects

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, as well as optimizing existing machine learning libraries and frameworks. 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.