Bachelor's degree in Computer Science, Data Science, or a related field., Experience with machine learning frameworks and data engineering tools., Proficiency in programming languages such as Python and SQL., Strong understanding of cloud platforms and data pipeline architecture..
Key responsibilities:
Design and implement data pipelines for machine learning models.
Collaborate with data scientists to optimize model performance.
Monitor and maintain the infrastructure for data processing and storage.
Ensure data quality and integrity throughout the ML lifecycle.
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