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Machine Learning Engineer

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Machine Learning Engineer

A post IPO company in the Healthcare space is looking to bring on a Senior Data Engineer for their Emeryville Engineering office. This person is going to be responsible for building out Data Ingestion pipelines so research and analysis on large amounts can be applied to large amounts of medical claims data. The volume of data will probably be in the upper hundred millions of rows. This person will need to transform data into different data formats and perform discovery/mapping of the data.

Required Skills & Experience

  • Advanced SQL
  • Experience with Apache Spark
  • AWS computing and storage stack (e.g. S3, EC2, EMR)
  • General database skills and strong knowledge of Parquet, Hadoop or Amazon Elastic Map Reduce (EMR
  • Programming Skills in Python
  • 5+ years of experience
  • BS in Computer Science

Nice to Have

  • Experience with ML techniques
  • Experience with Medical Data

Tech Breakdown

  • SQL, Python, Spark, AWS

Daily Responsibilities

  • Collaborate with data scientists and analysts to translate prototypes into scaleable, robust models
  • Collaborate with software engineers and data engineers to deploy models in production
  • Build and manage reuseable ML workflows that enable us to track various models, versions, and experiments

The Offer

  • Competitive salary & 401(k) plan
  • Two work from home days

Workbridge Associates, part of the Motion Recruitment network, provides IT Staffing Solutions (Contract, Contract-to-Hire, and Direct Hire) in major North American markets. Our unique expertise in today’s highest demand tech skill sets, paired with our deep networks and knowledge of our local technology markets, results in an exemplary track record with candidates and clients.

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Machine Learning Engineer
  • Sarah Hayes

  • Workbridge San Francisco - SWD

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