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AI / Machine Learning Engineer -

  • Job type Posted on: May 20, 2026
  • Experience level Staff Financial Group
  • Employment type Atlanta, Georgia
  • Employment type Onsite
  • Salary Full-time

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Job Title :

AI / Machine Learning Engineer -

Job Type :

Full-time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

Artificial Intelligence Engineer NorthPoint Search Group Atlanta Metropolitan Area (Hybrid) AI / Machine Learning Engineer - Atlanta - Hybrid Overview Fortune 2000 company seeks an experienced AI / ML Engineer to design, build, and deploy production-ready AI solutions. You’ll work across data, engineering, and product teams to operationalize machine-learning models and generative-AI tools that drive business results. Key Responsibilities Build, train, and deploy ML and GenAI models using Python , TensorFlow , or PyTorch Implement cloud-based solutions in AWS SageMaker , Azure AI , or Google Vertex AI Develop automated MLOps pipelines (Docker / Kubernetes / MLflow) Integrate AI into enterprise platforms such as ServiceNow , Salesforce , or Workday Monitor model performance, compliance, and governance standards (SOC 2, NIST) Qualifications 4 + years of AI / ML engineering or software-development experience Strong Python and ML framework proficiency Experience deploying models to production cloud environments Familiarity with CI/CD , APIs , and data pipelines Excellent communication and cross-functional collaboration skills Salary: $150K – $190K + bonus #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

May 20, 2026

Reference Number:

14660_6AA3EBCC73B8368AE315F28CC38C1CF6

Employment:

Full-time

Salary:

Not Available

City:

Atlanta

Job Origin:

APPCAST_CPC

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Artificial Intelligence Engineer NorthPoint Search Group Atlanta Metropolitan Area (Hybrid) AI / Machine Learning Engineer - Atlanta - Hybrid Overview Fortune 2000 company seeks an experienced AI / ML Engineer to design, build, and deploy production-ready AI solutions. You’ll work across data, engineering, and product teams to operationalize machine-learning models and generative-AI tools that drive business results. Key Responsibilities Build, train, and deploy ML and GenAI models using Python , TensorFlow , or PyTorch Implement cloud-based solutions in AWS SageMaker , Azure AI , or Google Vertex AI Develop automated MLOps pipelines (Docker / Kubernetes / MLflow) Integrate AI into enterprise platforms such as ServiceNow , Salesforce , or Workday Monitor model performance, compliance, and governance standards (SOC 2, NIST) Qualifications 4 + years of AI / ML engineering or software-development experience Strong Python and ML framework proficiency Experience deploying models to production cloud environments Familiarity with CI/CD , APIs , and data pipelines Excellent communication and cross-functional collaboration skills Salary: $150K – $190K + bonus #J-18808-Ljbffr

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