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Software Development Engineer in Machine Learning

4 months ago

Pleasanton, United States GroupA Full time

We are looking for a Software Development Engineer in Machine Learning (ML) to join our to join our team in Pleasanton, CA.

Responsibilities:

  • Transition Databricks pipelines to Data Engineering tooling on AWS
  • Transition Databricks notebooks to AWS SageMaker Studio
  • Develop features for Data Engineering tooling that promote data mesh architecture principles
  • Lead teams through best practices in ML and ML Ops
  • Influence the direction of our product vision and strategy with technical expertise and context
  • Provide critical feedback for the team’s technical designs, architecture, and decisions

Requirements:

  • 1 or more years of experience using Databricks
  • 1 or more years of experience using ML pipeline tools: Airflow, Dagster, ML Flow, AWS Glue, Spark, etc.
  • 2 or more years of experience using cloud compute technologies: AWS, GCP, etc.
  • 3 or more years of experience building production grade software and practicing Agile methodologies
  • 2 or more years of experience building data mesh architectures
  • 2 or more years of experience with ML ops
  • 2 or more years of experience with machine learning and data science technologies