Build product definition and leverage your technical skills to drive towards the right solution; Design, build, test and maintain the Machine Learning platform supporting Data Science initiatives; Solve difficult problems, learn recent technologies, and push the boundaries of what is possible; Work independently and in a team environment; Scope, design, and build scalable, resilient distributed systems; Engage in cross-functional collaboration throughout the entire software lifecycle; Participate in design sessions and code reviews with peers to elevate the quality of engineering across the organization
Requirements:
Bachelor's degree in computer science, Information Systems, or equivalent education or work experience; Experience with end-to-end Machine Learning Engineering lifecycle; Experience with Cloud Platforms such as Azure, AWS, or Google Cloud; Experience with Machine Learning cloud technologies such as Azure Machine Learning (AML), AWS SageMaker or Spark ML; Experience with Big Data platforms such as Databricks or Apache Spark
Text:
Senior Machine Learning Engineer Build product definition and leverage your technical skills to drive towards the right solution; Design, build, test and maintain the Machine Learning platform supporting Data Science initiatives; Solve difficult problems, learn recent technologies, and push the boundaries of what is possible; Work independently and in a team environment; Scope, design, and build scalable, resilient distributed systems; Engage in cross-functional collaboration throughout the entire software lifecycle; Participate in design sessions and code reviews with peers to elevate the quality of engineering across the organization Bachelor's degree in computer science, Information Systems, or equivalent education or work experience; Experience with end-to-end Machine Learning Engineering lifecycle; Experience with Cloud Platforms such as Azure, AWS, or Google Cloud; Experience with Machine Learning cloud technologies such as Azure Machine Learning (AML), AWS SageMaker or Spark ML; Experience with Big Data platforms such as Databricks or Apache Spark
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