Data, Machine Learning
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Job Description
Data & Machine Learning Engineer supporting data quality and rule inference solutions. Developing data processing pipelines and deploying machine learning models.
Responsibilities:
- Develop data processing pipelines based on reusable components using PySpark, Databricks and Airflow
- Build, train, and deploy machine learning models on large datasets
- Analyze data to identify patterns and infer data quality rules
- Support the operationalization of models in production environments
Requirements:
- Strong experience with Python and PySpark
- Hands-on experience developing and deploying ML models
- Experience working with large-scale data processing environments
- Strong analytical and problem-solving skills
- Experience with data quality or data governance (Nice to have)
- Knowledge of Master Data Management (MDM) (Nice to have)
- Familiarity with SAP MDG or SAP master data structures (Nice to have)
Benefits:
- 5 days of scheduled leave.
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