Senior ML Ops Engineer

Industry: Pharma
Company size: 251-10K

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Job description

An NYSE-listed company that is manufacturing and distributing world-class pharmaceutical products across the globe is looking for a Senior ML Ops Engineer. The selected candidate will be helping the team to establish themselves as the defacto Data Science leader for all ML projects and insight. The century-old organization is engaged in the research and development, manufacture, and sale of a range of products in the healthcare field. This is a great opportunity for developers who are eager to work with industry leaders and build a lucrative career for themselves. 


Job Responsibilities:

  • Works in close collaboration with several other data science units
  • Practice code reviews, unit tests, integration tests, and end-to-end tests in a continuous integration environment
  • Drive the development of new features and projects
  • Encourage extensive test coverage and automate testing whenever possible
  • Document the codebase and engage in knowledge sharing with the rest of the team

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of relevant experience as a software engineer
  • Prolific experience working with ML Ops and Python
  • Demonstrable experience with AWS, specifically Data/ML tools
  • Nice to have some knowledge of AWS CloudFormation and Terraform
  • Excellent English communication skills, both spoken and written

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