Bachelor's degree in Computer Science, Engineering, 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 scalable ML pipelines for data processing.
Collaborate with data scientists to deploy machine learning models.
Monitor and optimize the performance of ML systems in production.
Ensure data quality and integrity throughout the data lifecycle.
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