responsible for designing and developing machine learning systems, implementing appropriate ML algorithms, and conducting experiments.
play a crucial role in the development and implementation of cutting-edge artificial intelligence products.
skills in statistics and programming, as well as a deep understanding of data science and software engineering (Software engineering books) principles.
Responsibilities:
Study and transform data science prototypes
Design machine learning systems
Research and implement appropriate ML algorithms and tools
Develop machine learning applications according to requirements
Select appropriate datasets and data representation methods
Run machine learning tests and experiments
Perform statistical analysis and fine-tuning using test results
responsible for designing and developing machine learning systems, implementing appropriate ML algorithms, and conducting experiments.
play a crucial role in the development and implementation of cutting-edge artificial intelligence products.
skills in statistics and programming, as well as a deep understanding of data science and software engineering (Software engineering books) principles.
Responsibilities:
Study and transform data science prototypes
Design machine learning systems
Research and implement appropriate ML algorithms and tools
Develop machine learning applications according to requirements
Select appropriate datasets and data representation methods
Run machine learning tests and experiments
Perform statistical analysis and fine-tuning using test results
Train and retrain systems when necessary
Extend existing ML libraries and frameworks
Keep abreast of developments in the field