Job Description

Responsibilities

As an ML Engineer, your pivotal role involves operationalizing ML Models developed by bank’s data scientists. You will serve as the focal point for ML model refactoring, optimization, containerization, deployment, and quality monitoring.

  • Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data/model lineage, code best practices and provide feedback to data scientists for potential improvements.
  • Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. This can include monitoring for data drift, triggering model retraining and setting up rollbacks.
  • Optimize AI development environments (development, testing, production) for usability, reliability and performance.
  • Have a strong relationship with the infrastructure and application development team in ...

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