Über
JD: • Designing predictive models for self-running artificial intelligence (AI) software. • Transforming data science prototypes and applying appropriate ML algorithms and tools. • Ensuring that algorithms generate accurate user recommendations. • Turning unstructured data into useful information • 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. • Running tests, performing statistical analysis, and interpreting test results. • Documenting machine learning processes.
Tools and frameworks: • Advanced proficiency with Python, Java, and R code writing. • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. • In-depth knowledge of mathematics, statistics, and algorithms.
Sprachkenntnisse
- English
Hinweis für Nutzer
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