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Artificial Intelligence Machine Learning Engineer Jobs in Atlanta, GA

The E Group

Be Seen First

Machine Learning Engineer

Atlanta, GA · On-site

$50 - $60/hr

Machine Learning Engineer 3 Date Posted: 7/31/26 Location: Atlanta, GA 30308 Job Type: Contract Full-Time Immediate W2 contract position available in Atlanta, GA. Estimated Duration: 4.5 months ...

Warnerbros

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Within the Data & Audience Platform (DAP) organization, our Machine Learning Engineering team builds the foundational AI/ML intelligence that powers identity, audience, advertising, and ...

Warnerbros

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Within the Data & Audience Platform (DAP) organization, our Machine Learning Engineering team builds the foundational AI/ML intelligence that powers identity, audience, advertising, and ...

Optimal Inc.

Agentic AI Engineer

Embry Hills, GA · On-site

Agentic AI Engineer We are seeking a highly skilled Agentic AI Engineer to support advanced R&D ... Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Omnissa

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$162K - $342K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors.You ...

Bespoke Labs

Machine Learning Engineer

Kennesaw, GA

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Atlanta, GA

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Kennesaw, GA · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Atlanta, GA · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Atlanta, GA

Artificial Intelligence Machine Learning Engineer information

See Atlanta, GA salary details

$30.3K

$123.8K

$186.1K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for artificial intelligence machine learning engineer in Atlanta, GA is $123,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $149,100.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Atlanta, GA? For Artificial Intelligence Machine Learning Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Atlanta, GA look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities near Atlanta, GA with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $123,832 per year, or $59.5 per hour.

Machine Learning Engineer

The E Group

Atlanta, GA • On-site

$50 - $60/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

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Job description

Job Title: Machine Learning Engineer 3

Date Posted: 7/31/26  

Location: Atlanta, GA 30308
Job Type: Contract Full-Time

Immediate W2 contract position available in Atlanta, GA.
Estimated Duration: 4.5 months
Job Description / Desired Qualifications:
We are seeking an experienced AI/ML Product Engineer to accelerate the development of reusable AI products that can be deployed across operating companies. This role will focus on building scalable, production-grade AI solutions—starting with projects involving Retrieval-Augmented Generation (RAG) and multi-agent orchestration for purposes of internal operational flows. The ideal candidate will have deep expertise in GCP or Azure-based AI services, strong engineering skills, and a product mindset.
Responsibilities:

  • Reusable AI Product Development.
  • Design and build modular, reusable AI components that can be scaled across business units.
  • Lead development of scalable RAG-based solutions for document comparison and using structured and unstructured data.
  • Engineer multi-agent systems for intelligent task coordination and decision support.
  • Develop transcription and NLP pipelines for customer interaction analysis Model Engineering & Deployment.
  • Build and fine-tune models using frameworks like PyTorch, Transformers, or LangChain
  • Package models for deployment in GCP, Azure ML, and/or Databricks ensuring scalability and maintainability.
  • Integrate with Databricks for data ingestion, feature engineering, and experimentation Collaboration & Enablement.
  • Work closely with MLOps, DevOps, and data engineering teams to align on infrastructure and deployment patterns.
  • Contribute to shared libraries, APIs, and templates that accelerate AI product delivery.
  • Provide technical guidance to teams adopting reusable AI components Security, Compliance & Observability.
  • Ensure AI products meet enterprise-grade security and compliance standards.
  • Implement monitoring for model performance, data drift, and usage metrics.

Company Description

We provide supplemental employees to the region's most sought after power projects. We credit our success to the commitment we show to our job applicants. E Group Recruiters are here to make sure your job search experience is the best it can be. Our recruiters are experts in knowing what the client manager is looking for in a resume, what bill rate the market will bear, and how to make your application stand out among the rest. Our personal touch continues even after we've found the perfect job for you. All full-time employees are eligible to pay for full health and retirement benefits including BC/BS health and dental insurance, life and disability insurances, and 401K with an immediately vested match is available. We have a dedicated team to guide you through these benefits.