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Artificial Intelligence Machine Learning Engineer Jobs in Atlanta, GA

... the machine learning function at a market-leading insurance company. As one of the first data ... Leverage continuous engineering practices to deliver business value regarding effectiveness of the ...

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... Business intelligence tools (e.g., Tableau, Knime, Looker) * Data security and privacy (e.g. GDPR ...

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... Business intelligence tools (e.g., Tableau, Knime, Looker) * Data security and privacy (e.g. GDPR ...

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... Business intelligence tools (e.g., Tableau, Knime, Looker) * Data security and privacy (e.g. GDPR ...

Senior AI Solutions Developer

Atlanta, GA · On-site

$52.50 - $69.25/hr

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field * 4-7 years of software engineering experience, including 3+ years working with LLMs ...

New

Staff Machine Learning Engineer

Atlanta, GA · On-site

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet ...

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet ...

Description The AI Engineer is responsible for designing, developing, implementing, and supporting enterprise artificial intelligence (AI) and machine learning (ML) solutions that advance clinical ...

Description The AI Engineer is responsible for designing, developing, implementing, and supporting enterprise artificial intelligence (AI) and machine learning (ML) solutions that advance clinical ...

Description The AI Engineer is responsible for designing, developing, implementing, and supporting enterprise artificial intelligence (AI) and machine learning (ML) solutions that advance clinical ...

Description The AI Engineer is responsible for designing, developing, implementing, and supporting enterprise artificial intelligence (AI) and machine learning (ML) solutions that advance clinical ...

Showing results 41-60

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 Sep 9, 2026, the average yearly pay for artificial intelligence machine learning engineer in Atlanta, GA is $123,827.00, 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 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 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 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:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $123,831 per year, or $59.5 per hour.

AI/Machine Learning Engineer

Decatur, GA • On-site

Metas Solutions
Business Management Consulting • 11 - 50 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

About Us:

Metas Solutions excels in providing strategic consulting, program management, and data-driven analytics to federal public health agencies. Our expertise enhances health systems and delivers measurable outcomes, helping agencies achieve their mission. We collaborate with federal partners to implement agile solutions for national public health initiatives, driving impactful changes through cutting-edge programs that strengthen communities and promote well-being. See www.metassolutions.com for further details about us and careers with Metas.

Job Description:

Metas Solutions has an "immediate opening" for a strategic AI-ML Engineer technical lead supporting the modernization of public health platforms through the design, development, and deployment of advanced AI capabilities. This position integrates cuttingedge technologies-including AI agents, retrievalaugmented generation (RAG), and large language models (LLMs)-to enable dynamic interaction with structured and unstructured public health data, drive real-time insights, and strengthen decision-making across mission-critical environments.

This position is responsible for architecting and optimizing AI systems, including data modeling for AI agents, memory and state management, RAG pipeline construction, and performance tuning of retrieval processes tailored to public health use cases. The role develops and implements rigorous AI evaluation strategies to ensure high-quality, trustworthy outputs and scalable performance across deployed solutions. This position is located in Atlanta, GA and will require on-site support.

Responsibilities:

  • Integrate cuttingedge AI technologies-including AI agents-to enhance platform functionality, enable dynamic data interaction, and support real-time insights and decision-making.
  • Develop and implement rigorous AI evaluation strategies to ensure reliability, performance, and continuous improvement across deployed AI solutions.
  • Lead the design of foundational system architecture, including data modeling for AI agents, memory and state management, and construction and optimization of RAG pipelines.
  • Drive performance optimization of retrieval workflows for public health use cases while defining and upholding strict data quality, curation, and documentation standards in collaboration with cross-functional AI teams.
  • Maintain adherence to privacy requirements, anonymization protocols, and ethical guidelines essential to responsible public health data management.

Qualifications:

  • Bachelor's degree in technology, Engineering, or Computer Science.
  • 8+ years of experience designing, developing, and deploying machine learning models
  • 8+ years of experience with Generative AI, LLMs, or RAG applications
  • 8+ years of hands-on experience with Python for ML and data engineering
  • Experience with Azure
  • Experience in SQL for data manipulation and feature engineering
  • Knowledge of MLOps tools (MLflow)
  • Ability to support on-site work in Atlanta, GA
  • Ability to obtain andmaintaina Public Trust or Suitability/Fitness determination based on client requirements

Additional Preferred Qualifications:

  • Experience in data-centric AI or ML projects within healthcare, biomedical, or public health sectors
  • Experience with full-stack development or deploying end-to-end ML applications
  • Experience with deploying ML solutions using Mols pipelines
  • Knowledge of government public health data architecture and systems
  • Knowledge of chatbot development or conversational AI
  • Knowledge of Agile workflows and tools like Azure DevOps or JIRA
  • Possession of excellent oral and written communication skills
  • Ability to collaborate in a matrixed environment

Security, Salary, and Benefits:

  • Must be US Citizen or with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period.
  • Market competitive salary, commensurate with experience and education.
  • Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities.

Notice on Candidate AI Usage

Metas Solutions is committed to maintaining a fair and competitive interview process for all candidates, based on their experience, skills, and education. To preserve the integrity and fairness of our interview process, candidates are expected to respond to all interview questions based on their own knowledge, skills, and experience. The use of artificial intelligence (AI) tools or other third-party resources to generate, assist with, or provide interview responses during phone, virtual, or in-person interviews is not permitted. Any use of AI-assisted responses during the interview process may result in disqualification from further consideration for employment.

We are an Equal Opportunity Employer/Veterans/Disabled