Machine Learning Engineer MLE Data Architect
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Job Description
This is a remote position.
Requirements
Design and implement endtoend machine learning workflows using SageMaker Pipelines.
Develop and optimize distributed training pipelines for scalable and efficient model training.
Write comprehensive unit tests in Python to ensure the reliability and accuracy of machine learning models and data processing pipelines.
Architect and optimize SQLbased solutions using Athena and Redshift for efficient data querying and analysis.
Design and manage ETL jobs at scale to handle large volumes of data effectively.
Develop and maintain big data pipelines for processing and analyzing massive datasets.
Nice to Have
Familiarity with MLOps practices particularly around Generative Artificial Intelligence (Gen AI).
Additional experience with machine learning frameworks and tools is a plus.
Required Skills Design and implement end-to-end machine learning workflows using SageMaker Pipelines. Develop and optimize distributed training pipelines for scalable and efficient model training. Write comprehensive unit tests in Python to ensure the reliability and accuracy of machine learning models and data processing pipelines. Architect and optimize SQL-based solutions using Athena and Redshift for efficient data querying and analysis. Design and manage ETL jobs at scale to handle large volumes of data effectively. Develop and maintain big data pipelines for processing and analyzing massive datasets. Nice to Have Familiarity with MLOps practices, particularly around Generative Artificial Intelligence (Gen AI). Additional experience with machine learning frameworks and tools is a plus.
Employment Type
Full Time
