Cloud Engineer with Machine Learning - W2/Fulltime

Overview

Hybrid
Depends on Experience
Contract - W2

Skills

AI
Airflow
Bash
C + +
Cloud Engineering
DevOps
Google Cloud
Google Cloud Platform
Julia
Kubernetes
Machine Learning
PowerShell
Python
Software EngineerLocation
Terraform
Vertex
object - oriented
pytorch
software engineering
tensorflow
ML Workflow

Job Details

Position: Cloud Software Engineer

Location: Dearborn, Michigan (Hybrid)

Job Type: W2 / Fulltime

Job Description:

  • Bachelor Degree in Computer Science, Computer Engineering or similar technical discipline.
  • 2+ years of experience with Cloud Engineering/ Services
  • Experience working with Google Cloud Platform (Google Cloud Platform)- specifically Google Kubernetes engine, Terraform, and infrastructure
  • Experience with ML Workflow orchestration tools: Airflow, Kubeflow, etc.
  • 3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge.
  • Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++, Julia

Skills Required:

  • Experience in DevOps: Jenkins/Tekton etc.
  • Experience with cloud services, preferably Google Cloud Platform Services like Vertex AI, Cloud Function, Big Query etc.
  • Experience in container management solution: Kubernetes, Docker
  • Experience in scripting language: Bash, PowerShell etc.
  • Experience with Infrastructure as code: Terraform etc.
  • Understanding of MLOPs/Machine Learning Life Cycle and common machine learning frameworks: sklearn, tensorflow, pytorch etc. is a big plus

Google Cloud Platform Engineer Test is Required for this Position