• Develop features and services to enable automated model building.

• Work with Data Scientists to create ML models efficiently.

• Design and develop infrastructure to run ML models.

• Lead the refactoring effort to improve design and code coverage.

• Create an engine to run ML models on different platforms.

• Integrate a CI/CD process thus improving development efficiency.

• Design and manage infrastructure to deploy services into cloud, on-prem.

• Deploy and manage services on a Kubernetes cluster.

Technologies used - Python, Flask, ML libraries and frameworks (pytorch, tensorflow, etc), Google Cloud, Kubernetes, Terraform, Packer, Jenkins

• Design, architect and develop the infrastructure to support all Bazaarvoice public APIs.

• Mentor junior developers.

• Working on testing tasks and documenting the process of API Management.

• Managing the releases, builds and deployment.

• Main Technologies used - Java, Scala, Dropwizard, AWS.