Data Software Engineer / MLOps / MLE

Responsibilities

• Design data pipelines that scale efficiently using Python, Spark, and PySpark
• Construct AWS infrastructure and manage deployments through Databricks
• Establish CI/CD workflows for machine learning models with Jenkins and similar platforms
• Apply Amazon SageMaker to construct, train, and release machine learning models
• Track model performance and drive improvements in efficiency
• Uphold standards for data quality and integrity at every stage
• Engage with teams across functions to generate innovative use cases
• Develop unit tests covering all phases of machine learning processes
• Modify data science pipelines to align with project demands
• Exchange information clearly to resolve questions and address technical matters

Languages