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Ml Infrastructure Engineer Jobs in Georgia (NOW HIRING)

AI/ML Engineer

Atlanta, GA

$110K - $132K/yr

Infrastructure: Leverage AWS AI/ML services (Sagemaker, Bedrock,Lambda, Step Functions, ECS/EKS) for scalable AI solutions.Data Engineering with PySpark: Optimize large-scale ETL workflows, data ...

DevOps Platform Engineer

Duluth, GA · On-site

$48.50 - $66.50/hr

AI/ML infrastructure experience - has deployed LLM-based applications or ML models to production ... Engineer builds and maintains the technical infrastructure that enables AGS's entire AI program to ...

ML Software Engineering Lead

Atlanta, GA

$98K - $129K/yr

Partner closely with research-focused data science teams, business stakeholders, infrastructure ... ML software engineering, ML ops, ML engineering, or ML research experience. * 5+ years of ...

Machine Learning Lead Engineer

Smyrna, GA · On-site

$134K - $224K/yr

Contribute to ML infrastructure improvements, best practices, and documentation * Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring frameworks.

Machine Learning Lead Engineer

Tucker, GA · On-site

$134K - $224K/yr

Contribute to ML infrastructure improvements, best practices, and documentation * Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring frameworks.

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

Contribute to ML infrastructure improvements, best practices, and documentation * Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring frameworks.

Machine Learning Lead Engineer

Redan, GA · On-site

$134K - $224K/yr

Contribute to ML infrastructure improvements, best practices, and documentation * Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring frameworks.

Machine Learning Lead Engineer

Conley, GA · On-site

$134K - $224K/yr

Contribute to ML infrastructure improvements, best practices, and documentation * Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring frameworks.

Machine Learning Lead Engineer

Atlanta, GA · On-site

$134K - $224K/yr

Contribute to ML infrastructure improvements, best practices, and documentation * Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring frameworks.

Showing results 21-40

Ml Infrastructure Engineer information

See Georgia salary details

$39.3K

$107.3K

$153.7K

How much do ml infrastructure engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for ml infrastructure engineer in Georgia is $107,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $119,100.00 per year, depending on experience, location, and employer.

What is the difference between Ml Infrastructure Engineer vs Data Engineer?

AspectML Infrastructure EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, experience with cloud platforms, scripting, and ML toolsBachelor's/Master's in CS, experience with databases, ETL, and data pipelines
Work EnvironmentFocus on deploying and maintaining ML systems, cloud infrastructure, and automationDesigning and building data pipelines, managing large datasets, and data storage
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, e-commerce, and data-driven industries

The ML Infrastructure Engineer specializes in building and maintaining the infrastructure that supports machine learning models, focusing on deployment, scalability, and automation. In contrast, Data Engineers primarily develop data pipelines and manage large datasets to enable data analysis and business intelligence. Both roles require strong technical skills and often overlap, but their core focus areas differ significantly.

What job categories do people searching Ml Infrastructure Engineer jobs in Georgia look for?

The top searched job categories for Ml Infrastructure Engineer jobs in Georgia are:

What cities in Georgia are hiring for Ml Infrastructure Engineer jobs?

Cities in Georgia with the most Ml Infrastructure Engineer job openings:

Infographic showing various Ml Infrastructure Engineer job openings in Georgia as of August 2026, with employment types broken down into 85% Full Time, 4% Part Time, 8% Contract, and 3% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $107,292 per year, or $51.6 per hour.

AI/ML Engineer

Purple Drive

Atlanta, GA

$110K - $132K/yr

Contractor

Posted 17 days ago


Job description

Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP,and Generative AI. strong expertise in LLMs, Retrieval-Augmented Generation (RAG),Agentic AI, and MLOps to develop scalable and production-ready AI solutions.Key Responsibilities:Develop & Optimize AI/ML Solutions: Build and deploy LLMs, RAG, Agentic AI,and GenAI applications.ML Pipeline Development: Implement and automate scalable ML pipelines usingMLflow, AWS SageMaker, Databricks, and PySpark.MLOps Implementation: Establish CI/CD workflows, model versioning, monitoring,and automated retraining.Cloud &: Infrastructure: Leverage AWS AI/ML services (Sagemaker, Bedrock,Lambda, Step Functions, ECS/EKS) for scalable AI solutions.Data Engineering with PySpark: Optimize large-scale ETL workflows, data pipelines,and distributed data processing.LLMs & RAG Applications: Fine-tune and deploy LLMs integrated with vectordatabases (FAISS, Pinecone, ChromaDB).NLP & Deep Learning: Work with transformers, embeddings, multi-modal AImodels, and text processing frameworks. Orchestration & Containerization:Deploy and manage AI workloads using Kubernetes (EKS), Docker, and CI/CDpipelineSenior Data Engineer with special emphasis and experience of 10 to 15 yearson Artificial Intelligence and Machine Learning. Bachelor degree in computer scienceEngineering, or related field.Strong Hands on Experience on Python coding and all the python libraries. Manageand direct processes and R&D (research and development) to meet the needsof our AI strategy. Understand company and client challenges and how integrating AIcapabilities can help lead to solutions. As a Machine Learning Engineer, you will playa crucial role in the development and implementation of cutting-edge artificialintelligence products.No of Experience:10+ years' experience.