AI / Machine Learning Engineer -

Staff Financial Group; Atlanta (GA); Hybrid; USD 150,000 - 190,000; Full time

Job summary

A leading technology recruitment firm is seeking an experienced Artificial Intelligence Engineer in Atlanta. This role involves designing and deploying AI solutions, working with cross-functional teams to operationalize machine-learning models. Candidates should have over 4 years of experience in AI/ML engineering with strong proficiency in Python and cloud environments. The position offers a competitive salary ranging from $150K to $190K plus bonuses, with a hybrid work model.

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.

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).

Skills

Python

ML frameworks

MLOps

CI/CD processes

APIs

Data pipelines

Tools

TensorFlow

PyTorch

AWS SageMaker

Azure AI

Google Vertex AI

Docker

Kubernetes

MLflow

ServiceNow

Salesforce

Workday

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