Job Location: Bangalore/Bengaluru
Some of your responsibilities include –
– Design & build data pipelines and production level ML infrastructure, using tools such as TFX, Kubernetes, Kubeflow Pipelines, TensorFlow
– Work with data engineering teams to iterate upon the pipelines that feed the data science models
– Deploy ML models under the constraints of scalability, correctness and maintainability.
– Work with large big data sources, focusing on efficient data creation and feature engineering
– Drive work on creating a state of the art codebase and machine learning lifecycle infrastructure
– Contribute to the team through mentorship, technical methods, improvements in how we work
– Develop and maintain Build, Continuous Deployment, and Continuous Integration systems.
– Continually improve CI/CD tools, processes and procedures.
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