Token Metrics provides AI-based cryptocurrency ratings and price predictions. Our customers leverage our professional analysts, analytics, and artificial intelligence to become smarter crypto investors.
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Token Metrics is searching for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
As a machine learning engineer, you should demonstrate solid data science knowledge and experience.
A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive models.
Responsibilities
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
Requirements
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
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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