Job Description
Token Metrics is seeking a highly skilled Machine Learning Engineer to optimize our machine learning systems. The role involves evaluating existing ML processes, performing statistical analyses, and improving the predictive capabilities of our AI software.
Responsibilities
- Consult with management to define and refine machine learning objectives.
- Design ML systems and develop autonomous AI for predictive modeling.
- Transform prototypes into production-ready models, applying suitable algorithms and tools.
- Ensure algorithms deliver accurate user recommendations.
- Tackle complex data problems and optimize ML libraries and frameworks.
- Develop algorithms for analyzing large volumes of historical data to generate predictions.
- Conduct stress testing and statistical analysis; interpret results for various market conditions.
- Document ML processes thoroughly.
- Stay updated with the latest developments in machine learning.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Mathematics, or related field.
- Master’s degree in Computational Linguistics, Data Science, Data Analytics or similar (advantageous).
- Minimum of 2 years experience as a Machine Learning Engineer.
- Proficiency in Python, Java, and R.
- Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
- Experience with LLM fine-tuning and LLM Observability.
- Strong understanding of mathematics, statistics, and algorithms.
- Excellent analytical, problem-solving, communication, and collaboration skills.
- Effective time management and organizational skills.
- Experience with crypto or Web3 projects.
About Token Metrics
Token Metrics provides AI-powered crypto indices, rankings, and price predictions to help investors build profitable portfolios. Our clients range from retail investors to professional fund managers across more than 50 countries.
Job ID: PI270240547
Highlights
Qualifications
- Bachelor’s in relevant fields; Master’s advantageous
- 2+ years of experience
- Proficiency in Python, Java, R
- Knowledge of ML frameworks and libraries
- LLM fine-tuning
- Strong math, statistics, and algorithms background
- Skills in problem-solving, communication, and teamwork
- Experience in crypto/web3 projects
Responsibilities
- Evaluate ML systems and improve accuracy
- Develop autonomous AI models
- Transform prototypes and apply ML algorithms
- Generate accurate recommendations
- Solve complex multi-layered data problems
- Develop predictive ML algorithms
- Conduct statistical analysis and testing
- Document processes
- Keep up with ML advancements