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Systems Technology Group - Dearborn, MI
posted 3 months ago
About the position
The AI/ML Engineer with Google Cloud Platform role at STG involves leveraging advanced technologies to support digital transformation initiatives for Fortune 500 companies. The position emphasizes teamwork, individual performance, and a commitment to delivering results in a fast-paced environment. The ideal candidate will possess a strong background in backend software engineering, particularly with Python, and have extensive experience with Google Cloud services and machine learning workflows.
Responsibilities
- Develop and maintain AI/ML solutions using Google Cloud Platform.
- Collaborate with cross-functional teams to implement machine learning models.
- Utilize ML workflow orchestration tools such as Airflow and Kubeflow.
- Manage containerized applications using Kubernetes and Docker.
- Implement Infrastructure as Code using Terraform.
- Support DevOps practices with tools like Jenkins and Tekton.
Requirements
- 3+ years of experience as a backend software engineer in Python.
- 2+ years of experience with Google Cloud Engineering/Services.
- Experience with ML workflow orchestration tools like Airflow and Kubeflow.
- Advanced knowledge of object-oriented programming languages such as Python and C/C++.
- Understanding of MLOps and Generative AI.
- Experience in DevOps practices and tools like Jenkins and Tekton.
- Familiarity with Google Cloud services including Vertex AI, Cloud Functions, and BigQuery.
- Experience with container management solutions like Kubernetes and Docker.
- Proficiency in scripting languages such as Bash and PowerShell.
- Experience with Infrastructure as Code tools like Terraform.
