AI / Machine Learning Engineer - Job at Staff Financial Group in Atlanta
Staff Financial Group, Atlanta, GA, United States
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
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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
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