Assess and redefine problem statements to align with client business objectives and data characteristics

Redesign and optimize model architectures for regression and classification tasks using AWS SageMaker and GenAI techniques

Lead feature engineering efforts to improve model input quality and predictive accuracy

Conduct hyperparameter optimization using AWS SageMaker and AWS-native tools to maximize model performance

Collaborate with client stakeholders to identify and implement improvements in data pipelines and model training processes

Apply AWS Well-Architected Framework principles focusing on security, reliability, performance efficiency, and operational excellence

Document model development processes, feature engineering strategies, and hyperparameter optimization results for maintainability and knowledge transfer

Expertise in AWS SageMaker with 3+ years of experience

Intermediate knowledge of Generative AI, including advisory, strategy, operations, and large language models

Strong experience in regression and classification model development

Proficiency in feature engineering and hyperparameter optimization techniques

Ability to collaborate effectively with client stakeholders

Strong analytical and problem-solving skills

Upper-Intermediate English proficiency (B2)