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
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