Cloud Deployment Engineer: AI/ML & Enterprise Integrations

Tech Asst

Dallas (TX)

Hybrid

USD 130,000 - 170,000

Full time

25 hours ago
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Job summary

Tech Asst in Dallas, TX, is seeking an experienced Forward Deployment Engineer to design, deploy and integrate technical solutions across enterprise environments. The role emphasizes Python development, cloud platforms, AI/ML support, and enterprise integrations.

You will collaborate with engineering, product, and business teams to build CI/CD pipelines, manage containerized deployments, and ensure reliable operation of data and AI systems in hybrid cloud settings.

Qualifications

  • Extensive Python/SQL experience with API development.
  • Experience building enterprise integrations and AI/ML support.
  • Strong cloud platform experience across AWS, Azure, or GCP.
  • Proven DevOps and CI/CD capability with containerized deployments.

Responsibilities

  • Develop and deploy software solutions using Python.
  • Build and integrate APIs and enterprise applications.
  • Work with AWS, Azure, and GCP cloud platforms.
  • Support AI/ML systems and prompt engineering initiatives.
  • Develop and maintain CI/CD pipelines.
  • Work with containerized applications and deployment environments.
  • Support data engineering and enterprise integration projects.
  • Troubleshoot technical and production issues.
  • Collaborate with engineering, product, and business teams.

Skills

Python
SQL
API development
Enterprise integration
AI/ML systems
Prompt engineering
DevOps
CI/CD
Containerization
Data engineering
Troubleshooting
Communication

Tools

AWS
Azure
GCP

Job description

Tech Asst in Dallas, TX, is seeking an experienced Forward Deployment Engineer to design, deploy and integrate technical solutions across enterprise environments. The role emphasizes Python development, cloud platforms, AI/ML support, and enterprise integrations.

You will collaborate with engineering, product, and business teams to build CI/CD pipelines, manage containerized deployments, and ensure reliable operation of data and AI systems in hybrid cloud settings.

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