MLOps process for ML Model Deployment

MLOps process for ML Model Deployment
Customer

Swiss Pharmaceutical Company

Established a common development framework, as well as a standardised release process enabling faster and more efficient ML model deployment

Challenge

  • Data Science team at client has been working on several ML projects that need to be put into production
  • Goal of this project was to provide an initial MLOps process to deploy models into production

Solution

  • Consulting and implementation of right technology stack combined with establishing a proper process
  • Established common framework (Kedro) to develop ML models. Setup a standard release process to deploy ML use cases
  • Defined tech stack needed for future use cases

Business impact

  • Established common development framework to standardise processes
  • Best practices put in place for development and release of software/ML models
  • Built initial infrastructure enabling reproducible ML pipeline creation on-premise
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