AI Engineer | Not Just Analysis. Deliver Business Value Through Model x Implementation.English summary from Japanese

Must-haves

• Experience from hypothesis generation through to implementation using data.
• Ability to design analysis to be usable and improve user experience.
• Experience in model building (EDA, preprocessing, feature engineering, training, evaluation).
• Experience in implementation for business integration (API/batch processing, log design, retraining and operation design).

Nice-to-haves

• Experience building loops for accuracy improvement (data quality, evaluation metrics, hypothesis testing cycles).
• Experience aligning with stakeholders on results (requirements gathering, presentation materials, decision support).
• Experience creating reproducibility of results (experiment management, proceduralization, baseline establishment, knowledge sharing).

Tech stack