Token Metrics is looking to optimize its machine learning systems to enhance the accuracy of its AI software's predictive automation capabilities.
Requirements
- 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.
- At least two years' experience as a machine learning engineer.
- Masters degree in computational linguistics, data science, data analytics, or similar will be advantageous.
- Extensive knowledge of machine learning libraries and frameworks.
- Knowledge of data modeling and software architecture.
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.
Other
- Bachelor's degree in computer science, data science, mathematics, or a related field.
- Great communication and collaboration skills.
- Excellent time management and organizational abilities.
- Masters degree in computational linguistics, data science, data analytics, or similar will be advantageous.
- At least two years' experience as a machine learning engineer.
