ASMLData Engineer
社招全职Data and Analytics地点:上海状态:招聘
工作描述
任职要求 Introduction to the job ASML Customer Support (CS) Diagnostics is at the core of ASML’s ambition to significantly reduce diagnostic labor hours, improve system availability, and enable predictive and self‑healing service capabilities towards 2030. The Data Engineering Engineer who will play a key role in building, scaling, and operationalizing AI‑driven diagnostics, observability, and predictive maintenance solutions. This role goes beyond tooling or automation: you will own the full lifecycle of data and AI solutions that directly impact diagnostic accuracy, MTTR, MTBF, and service efficiency. And you will work at the intersection of machine data, diagnostics domain knowledge, and advanced analytics, collaborating closely with CS Diagnostics, Field, D&E, and central platform teams Role and responsibilities AI, Analytics & Model Ownership Design, develop, deploy, and maintain machine learning and deep learning models for Predictive Maintenance (PdM), Fault Detection & Classification, and root‑cause identification and observability improvement. Own the end‑to‑end model lifecycle, problem definition and data exploration, feature engineering and model development, validation, deployment, monitoring, and retraining. Continuously improve model performance based on field feedback, diagnostic outcomes, and new data availability. Data Engineering & Platform De…
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包括英文材料
Azure+
https://azure.microsoft.com/
Invent with purpose, realize cost savings, and make your organization more efficient with Microsoft Azure’s open and flexible cloud computing platform.
Databricks+
https://docs.databricks.com/aws/en/getting-started/
The tutorials in this section introduce core features and guide you through the basics of working with the Databricks platform.
https://www.youtube.com/watch?v=QNdiGZFaUFs
This video will act as an intro to databricks.
Spark+
[英文] Learning Spark Book
https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf
This new edition has been updated to reflect Apache Spark’s evolution through Spark 2.x and Spark 3.0, including its expanded ecosystem of built-in and external data sources, machine learning, and streaming technologies with which Spark is tightly integrated.
学历+
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相关职位
社招数据开发岗
1. 学历要求:本科及以上学历,计算机科学、软件工程、数据科学、统计学等相关专业;专业不限; 2. 工作经验:不限,具备扎实的数据处理与开发经验,有大规模数据平台构建或数据中台项目经验者优先; 3.
更新于 2026-06-19北京
社招AI与数据分析
The Role We're looking for a Data Engineer to join our Data Engineering team and play a pivotal role
上海
社招AI与数据分析
- Proficient experience in building large scale data pipeline. - Must have strong experience in Data
上海