Evaluate and reformulate problem statements to ensure alignment with client business goals and data specifics

Enhance and optimize regression and classification model structures using AWS SageMaker and GenAI approaches

Drive feature engineering initiatives to boost the quality of inputs and predictive capabilities

Perform hyperparameter tuning leveraging AWS SageMaker and native AWS tools to elevate model effectiveness

Partner with client teams to pinpoint and execute enhancements in data workflows and model training

Implement AWS Well-Architected Framework guidelines emphasizing security, reliability, efficiency, and operational excellence

Maintain thorough documentation of model development, feature engineering methods, and hyperparameter tuning outcomes for easy reference and knowledge sharing

Advanced proficiency in AWS SageMaker with 5+ years of experience

Proficient understanding of Generative AI, including advisory, strategy, operations, and large language models

Extensive background in developing regression and classification models

Skilled in feature engineering and hyperparameter tuning methods

Effective collaboration skills with client stakeholders

Strong analytical thinking and problem-solving capabilities

Upper-Intermediate command of English (B2 level)