Staff Financial Group
AI / Machine Learning Engineer -
Staff Financial Group, Atlanta, Georgia, United States, 30383
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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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