Machine Learning Operations Engineer (MLOps)

Designing, implementing, debugging web technologies and server architectures (Java,JavaScript, NodeJS), databases in Cloud Infrastructure and with Python programming language

Develop applications, API integrations on cloud infrastructures to handle customer data

Utilizing and maintaining cloud infrastructure and services of Google Cloud Platform

Develop end-to-end backend pipelines for deploying machine learning models.

Build Docker containers for trained machine learning models.

Deploy Docker container images on Kubernetes engine.

Maintain Kubernetes engine and virtual machines on Google Cloud Platform.

Develop Flask and FastAPI frameworks in Python for deploying models as APIs.

Deploy the models in production as REST APIs on cloud infrastructure.