Token Metrics is looking to optimize their machine learning systems to enhance the accuracy of their AI software's predictive automation capabilities for crypto investors.
Requirements
- 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
- Experience with crypto or web3 projects
Responsibilities
- Evaluating existing machine learning (ML) processes
- Performing statistical analysis to resolve data set problems
- Enhancing the accuracy of our AI software's predictive automation capabilities
- 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
Other
- Consulting with the manager to determine and refine machine learning objectives.
- Keeping abreast of developments in machine learning.
- 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.
