Data Engineer
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Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
Introduction to the job
ASML Customer Support (CS) Diagnostics is at the core of ASMLs ambition to significantly reduce diagnostic labor hours improve system availability and enable predictive and selfhealing service capabilities towards 2030.
The Data Engineering Engineerwho will play a key role in building scaling and operationalizingAIdriven diagnostics observability and predictive maintenance solutions.
This role goes beyond tooling or automation: you willown the full lifecycle of data and AI solutionsthat directly impact diagnostic accuracy MTTR MTBF and service you will work at the intersection ofmachine 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 maintainmachine learning and deep learning modelsfor Predictive Maintenance (PdM) Fault Detection & Classification and rootcause identification and observability improvement.
Own theendtoend model lifecycle problem definition and data exploration feature engineering and model development validation deployment monitoring and retraining.
Continuously improve model performance based onfield feedback diagnostic outcomes and new data availability.
Data Engineering & Platform Development
Design and implementscalable cloudnative data pipelinesto ingest transform and provision large volumes of structured and unstructured machine data.
Work with platforms such asAzure Databricks Spark and Kustoto ensure reliable performant and secure data access.
Ensure data quality traceability and reproducibility for downstream analytics and AI applications.
Enable early access to data throughproofofconcept pipelines while ensuring smooth transition to productiongrade solutions
Diagnostics Domain Enablement
Improveobservability through machine databy identifying gaps defining required signals and translating diagnostic needs into data and model requirements.
Identifystructural improvements in diagnostic services including processes methods and analytical approaches.
Closely collaborate with diagnostics experts to ensure solutions areactionable interpretable and embedded in diagnostic workflows.
Standards Governance & Stakeholder Collaboration
Define and follow standards policies and protocolsfor data models and analytics solutions.
Ensure solutions arecompliant manageable scalable and secure in line with ASML requirements.
Translate technical outcomes intomeasurable service impact(e.g. MTTR reduction labor hour savings improved hit rates).
Communicate results insights and recommendations tosenior stakeholders and leadership.
Provide guidance and knowledge sharing to colleagues and stakeholders where needed.
Education Experience and Skill
Masters degreein Data Science Computer Science Engineering Applied Mathematics or a related field.
5 years of relevant experiencein data science data engineering or advanced analytics roles.
Strong proficiency inPythonand experience with analytical and ML libraries. Scripting skill such asPERL Bash Power Shell
Proven experience developing and deployingmachine learning / deep learning modelsin production environments.
Strong experience withcloudbased data platforms(Azure preferred) including Databricks Spark SQL / Kusto. Experience with SQL ETL processes.
Solid understanding ofstatistics data analysis SPC/FDC concepts and analytical problem solving.
Experience working withlargescale highfrequency data streams
Other information
Preferred Qualifications:
Experience with diagnostics manufacturing equipment data or industrial systems.
Familiarity with ASML machine data and CS diagnostics workflows.
Experience improving observability fault detection or predictive maintenance in complex systems.
Experience working with business stakeholders and explaining technical results to non-technical audiences.
Experience training others and creating technical documentation or user manuals.
This position requires access to controlled technology as defined in the United States Export Administration Regulations (15 C.F.R. 730 et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.
Inclusion and diversity
ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit hire train and promote persons in all job titles without regard to race color religion sex age national origin veteran status disability sexual orientation or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.
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About Company
ASML gives the world's leading chipmakers the power to mass produce patterns on silicon, helping to make computer chips smaller, faster and greener.
