Design and develop ML products integrated with the CDP; collaborate with product managers, UX designers, architects, engineers, and cross-functional stakeholders to translate requirements into deliverables.
Own specific technical areas, drive ML product projects, define system architecture, and implement components to enhance user experience.
Design and implement scalable ELT data pipelines (training and inference lifecycles); participate in on-call production support; promote ML engineering best practices (code reviews, CI/CD, testing, deployment, reliability).
技術スタック
必須スキル
Python and ML ecosystem (NumPy, Pandas, Scikit-learn, PyTorch)
Experience deploying ML models and building ML pipelines
Data engineering fundamentals and AWS or equivalent cloud services
strong communication and cross-functional collaboration
歓迎スキル（該当する場合）
Security design principles
Big data technologies (Hive, Trino, Spark, BigQuery, Redshift)