LLM as mandatory experience in use case implementation
Researching and implementing appropriate deep learning algorithms and tools
Understanding and transforming complex data science prototypes and designs
Developing machine learning applications according to requirements
Selecting and transforming features building and optimizing classifiers
Training and retraining systems as necessary
Extending existing machine learning libraries and frameworks
Performing statistical analysis and tuning of system parameters
Working closely with project managers and data scientists to improve performance and operational efficiency
Creating and maintaining machine learning and deep learning models with a focus on scalability reliability and accuracy
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