Machine Learning Engineer

at SCOM
Location San Francisco, CA
Date Posted June 26, 2020
Category Default
Job Type Full-time

Description

JOB TITLE: Machine Learning Engineer

JOB DESCRIPTION:

  • 5+ years experience developing and deploying machine learning systems into production
  • Strong experience working with a variety of relational SQL and NoSQL databases
  • Strong experience working with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with at least one cloud provider solution (AWS, GCP, Azure)
  • Strong experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
  • Ability to work in a Linux environment
  • Industry experience building and productionizing innovative end-to-end Machine Learning systems
  • Ability to quickly prototype ideas and solve complex problems by adapting creative approaches
  • Experience working with distributed systems, service oriented architectures and designing APIs
  • Strong knowledge of data pipeline and workflow management tools
  • Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation
  • Relevant working experience with Docker and Kubernetes is a big plus
  • Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems.Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance testing and A/B testing

Please apply online or email [Click Here to Email Your Resumé] If you don’t meet these requirements, but are interested in other Scom or Corestaff Services opportunities, please register with us online at ess.impellam.com

s•com is an Equal Opportunity Employer - All qualified applicants will receive consideration without regard to race, color, religion, gender, national origin, age, disability, veteran status, or any other factor determined to be unlawful under applicable law.

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