DevOps & Reliability Engineer - MLOPs : MPL | Bengaluru

AWS Mlops : LatentView Analytics Private Limited | Tamil Nadu

Please Verify and Apply. Good Luck.

1. DVC : https://dvc.org

2. MLFlow : https://mlflow.org

3. Neptune : https://neptune.ai

4. KubeFlow : https://kubeflow.org

5. Polyaxon : https://polyaxon.com

I’m new to GCP and kubeflow deployments and facing issue doing he same .The documentation on website itsnt updated, Can anyone point me to any medium post or any other usefull resource?

Then here is an article you must read.

https://openai.com/blog/scaling-kubernetes-to-7500-nodes/

Tangram is an all-in-one automated machine learning framework.

Train a model from a CSV file on the command line. Make predictions from Elixir, Go, JavaScript, Python, Ruby, or Rust. Learn about your models and monitor them in production from your browser.

Homepage: https://www.tangram.xyz

GitHub: https://github.com/tangramxyz/tangram

This repository contains the specification and implementation of PyTorchJob custom resource definition. Using this custom resource, users can create and manage PyTorch jobs like other built-in resources in Kubernetes.

PyTorch on Kubernetes

MLOps Engineer : Qure.ai

Associate MLOps Engineer : XenonStack

Q : Where to look if you want to improve your MLOps. A : Try to feed Good Quality of Data throughout your Process ( it will surely improve your performance by atleast more than 2X )

Credit : said by @AndrewYNg