Collabera | Hiring | ML Ops Engineer | BigDataKB.com | 2022-09-16

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Job Location: Bangalore/Bengaluru

  • Development of an automated ETL pipelines for extracting different source files from on-premises databases into different cloud storage(Azure /AWS/GCP) for daily triggering the data.
  • Creating Continuous Integration (CI) pipelines for each tasks like data collection, cleaning, visualization, model building, training, testing, and presentation, apply data mining techniques to cleanse and explore large, complex data sets in preparation for further analysis and apply appropriate data-reduction, feature selection, and feature engineering techniques.
  • Working directly with data engineers and data scientists to convert experimentation code into repeatable scripts/jobs of input and output.
  • Model creation by collection of data pipeline automatically, retraining triggered automatically based on production metrics, Compute managed, and Experiment results tracked for both training code and resulting models are version controlled.
  • Automatic Release, scoring Script is version controlled with tests and release managed by continuous integration and CI/CD pipeline. Unit and Integration tests for each model release, version control code, data, and experimentation outputs and use multiple environments
  • Set up monitoring to identify data and model drift, to understand whether retraining is required, and creating automatic retraining, automatic approval process from lower environment to higher environment.
  • Analyze research results, draw actionable insights, and present findings to product management and development personnel through data visualization
  • Expertise in developing systems, tools, & processes to monitor ML models in production, monitoring drift and performance

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