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About the Role

•Implement ETL pipelines in Azure cloud environment for reporting and analytics projects
• Monitor and support existing BAU pipelines in Azure cloud platform
Provide infrastructure support to Azure cloud platform users as a part of the admin team

Roles and Responsibilities:

Design and implement MLOPS, i.e. set of tools and operating models used to deploy and maintain machine learning models in production reliably and efficiently

Act as a bridge between data scientists and IT & data engineers & data architects, especially during development & production architecture design & set-up

Test and optimizing machine learning models and algorithms before they go in production

Assist in monitoring and retraining models when needed

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