Creating a Sagemaker pipeline using a custom docker container

Iam SRE /Devops practitioner /MLOPS . Cloud Engineer having experience with DevOps implementation for web application, MLOPS with 10 years of Experience in Cloud Automation, Container Orchestration using Kubernetes., Serverless, DevOps, Continuous Delivery, Linux Administration, Software configuration Management, Software Build and Release This is the highlights of work that have experience on: - Deploy and monitor Amazon Web Service resources (EC2, VPC, ELB, S3, GPU ,Route53,Healthcheck,API Gateway, Lambda etc) using Terraform and Ansible - Docker based application using Kubernetes, HELM, ISTIO, Prometheus, grafana etc. - Implemented, tested and monitored microservices in the on prem and cloud environments for Web Applications and AI/ML workflow. - Implement the AI/ML solutions like Jupyterhub, MLFlow, Kubeflow, Seldon core and AIrfllow. Hand-on experience with e technologies like AWS, Devops, On call exploring the AI/ML space tools like sagemaker, Kubeflow, Mlflow, kedro, Airflow, Jenkins, Terraform github etc. I have good expertise in AI/ML space tools, Terraform, Ansible, AWS, Jenkins,Github, Kubernetes Docker.

Hello, I am a Sagemaker and Docker expert with 8 years of experience. Which language are you using? Hope to hear from you. Best Walter