メーカー/女性比率4割以上の転職求人一覧

・Strong ML Data Engineering Experience5+ years in data engineering, including 2+ years supporting ML workflows, with proven experience building scalable solutions for model development and deployment.・Expertise in Modern Data PlatformsHands-on experience with Databricks, Snowflake, Python, PySpark, and advanced SQL for developing and optimizing data pipelines and feature engineering processes.・MLOps and DevOps ProficiencyExperience with MLflow, Git, Docker, CI/CD pipelines, data versioning, model retraining, inference orchestration, and automated deployment practices.・Data Governance and Analytics CollaborationKnowledge of data governance, observability, and compliance principles, with experience partnering across data science and analytics teams and exposure to Power BI for validation and reporting.#LI-Hybrid#LI-KN