TransUnion | Jobs | ML Engineer | BigDataKB.com | 24-02-22

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Job Location: Mumbai

What Well Bring:

As a Machine learning professional, you will be working closely with the Analytics, Products teams, Operations teams in order to develop and deploy models that power features used by all our customers
– Exploring AI/ML/DS techniques for solving business problems
– Work with the Data Engineering team to build a data platform that enables fast iteration of Development and Deployment of ML models
– Capability building for supporting the rapid development and deployment of ML models
– Support Data Engineering , Operations and Products teams to adopt best practices and infrastructure to enable integration of ML models anytime anywhere
– Working on Innovation use cases involving Big Data and Analytics
– Crunching the data to bring out values

What Youll Bring:

As a Machine learning professional, you will be working closely with the Analytics, Products teams, Operations teams in order to develop and deploy models that power features used by all our customers

– Exploring AI/ML/DS techniques for solving business problems

– Work with the Data Engineering team to build a data platform that enables fast iteration of Development and Deployment of ML models

– Capability building for supporting the rapid development and deployment of ML models

– Support Data Engineering , Operations and Products teams to adopt best practices and infrastructure to enable integration of ML models anytime anywhere

– Working on Innovation use cases involving Big Data and Analytics

– Crunching the data to bring out values

Impact Youll Make:

As a Machine learning professional, you will be working closely with the Analytics, Products teams, Operations teams in order to develop and deploy models that power features used by all our customers

– Exploring AI/ML/DS techniques for solving business problems

– Work with the Data Engineering team to build a data platform that enables fast iteration of Development and Deployment of ML models

– Capability building for supporting the rapid development and deployment of ML models

– Support Data Engineering , Operations and Products teams to adopt best practices and infrastructure to enable integration of ML models anytime anywhere

– Working on Innovation use cases involving Big Data and Analytics

– Crunching the data to bring out values

Apply Here

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