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Artificial Intelligence Machine Learning Engineer Jobs in Macon, GA

Clear Ridge Defense

Data Scientist (Junior - Senior)

Gordon, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Years (3+) of relevant experience in machine learning, data science, programming, or statistical ... Cyber Intelligence & Operations Planning * Security Risk Analysis, Mitigation & Training All ...

Clear Ridge Defense

Data Scientist (Junior - Senior)

Gordon, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Years (3+) of relevant experience in machine learning, data science, programming, or statistical ... Cyber Intelligence & Operations Planning * Security Risk Analysis, Mitigation & Training All ...

SOSi

Data Scientist Expert

Gordon, GA · On-site

... Intelligence and Security Command (INSCOM). The role involves applying advanced statistical, computational, and machine learning techniques to solve complex analytical problems and generate mission ...

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

Artificial Intelligence Machine Learning Engineer information

See Macon, GA salary details

$30.2K

$123.5K

$185.6K

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

As of Aug 19, 2026, the average yearly pay for artificial intelligence machine learning engineer in Macon, GA is $123,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $148,700.00 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 Macon, GA?

For Artificial Intelligence Machine Learning Engineer jobs in Macon, GA, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Macon, GA look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Macon, GA are:

What cities near Macon, GA are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Macon, 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 Macon, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $123,498 per year, or $59.4 per hour.

Senior Lead Experimentation Engineer

Summit Federal Services LLC

Gordon, GA • On-site

Full-time

Re-posted 27 days ago

Job description

Summit Federal Services, LLC (SFS) with headquarters in Oakland, Maryland, is a fast growing woman owned Small Business and HUBZone company with an outstanding record of performance providing more effective and efficient acquisition, business process, training, IT, administrative and security services to multiple federal agencies.
SFS is looking for a Senior Lead Experimentation Engineer to provide support to CBL Battle Lab Facility located at Fort Gordon GA. All work will be performed onsite. This contract will support the CBL mission to provide experimentation support to the C- CDID with dynamic network experimentation integrated with CO, DODIN-A, EW and IA through the Cyber Battle Lab's Experimentation Branch (EB), Environments Support Branch (ESB), and the Army Persistent Experimentation eNvironment (APEN) Cyber Enterprise Service Center (CESC). The CBL Experimentation Support contract will provide support in the form of experiments, assessments, analyses and network support that will validate proposed new technical solutions to resolve known Doctrine, Organization, Training, Material, Leadership & Education, Personnel, Facilities Policy (DOTMLPF-P) capability gaps within the CO, EW, Network, and IA force modernization lines of effort. This position is contingent upon contract award.
Position Summary
The Senior Lead Experimentation Engineer leads the planning, design, execution, and analysis of experiments to evaluate emerging technologies, operational concepts, system performance, and mission effectiveness. This role combines systems engineering, data analytics, modeling and simulation, test and evaluation, and operational research to support technology maturation and informed decision-making for government, defense, aerospace, or commercial organizations.
Key Responsibilities
  • Lead the development and execution of experimentation campaigns, demonstrations, and technology evaluations.
  • Design rigorous test plans, experimental frameworks, and evaluation methodologies.
  • Define measures of effectiveness (MOEs), measures of performance (MOPs), and key performance indicators (KPIs).
  • Coordinate cross-functional teams including engineers, operators, analysts, and stakeholders.
  • Plan and execute field tests, laboratory experiments, modeling and simulation activities, and operational assessments.
  • Analyze experimental results and develop actionable recommendations.
  • Oversee data collection, validation, statistical analysis, and reporting activities.
  • Support concept development, capability assessments, and technology transition efforts.
  • Present technical findings and strategic recommendations to senior leadership and customers.
  • Mentor junior engineers, analysts, and technical staff.
  • Manage experimentation schedules, resources, risks, and technical objectives.
Required Qualifications
  • Bachelor's degree in Engineering, Computer Science, Physics, Mathematics, Operations Research, or a related technical discipline.
  • Typically 10-15+ years of experience in systems engineering, experimentation, test and evaluation, modeling and simulation, or operational analysis.
  • Experience leading complex technical projects and multidisciplinary teams.
  • Strong knowledge of experimental design and statistical analysis techniques.
  • Ability to translate operational requirements into measurable test objectives.
  • Excellent communication, briefing, and technical writing skills.
  • Top Secret Security Clearance.
Preferred Qualifications
  • Master's degree or Ph.D. in a technical field.
  • Experience supporting Department of Defense, aerospace, intelligence, or federal government programs.
  • Knowledge of Joint, Service, or combatant command experimentation processes.
  • Experience with:
    • Operational Test & Evaluation (OT&E)
    • Developmental Test & Evaluation (DT&E)
    • Digital engineering environments
    • Modeling and simulation frameworks
    • Wargaming and operational analysis
    • Artificial intelligence and autonomous systems evaluation
    • Active Secret or TS/SCI security clearance.
Desired Technical Skills
  • Experimental design and statistical methods
  • Data analytics and visualization
  • Systems engineering
  • Modeling and simulation
  • Python, MATLAB, R, or similar analytical tools
  • Test planning and execution
  • Requirements analysis and capability assessment
  • Risk analysis and decision support
  • Verification and validation methodologies
Common Tools and Platforms
  • MATLAB
  • Simulink
  • STK
  • JIRA
  • Confluence
  • Cameo Systems Modeler
  • Tableau
  • Power BI
Leadership Responsibilities
  • Lead technical teams and experimentation efforts across multiple projects.
  • Establish experimentation strategies, standards, and best practices.
  • Coordinate with government sponsors, program managers, and operational users.
  • Provide technical oversight and quality assurance for experimentation activities.
  • Mentor and develop engineering and analytical personnel.

SFS is an equal opportunity employer regardless of race, color, religion, creed, sex, marital status, national origin, disability, age, veteran status, on-the-job injury, sexual orientation, political affiliation or belief. Employment decisions are made without consideration of these or any other factors that employers are prohibited by law from considering. Any discriminatory action can be a cause for disciplinary action. SFS also prohibits discrimination against individuals with disabilities and will reasonably accommodate applicants with a disability, upon request, and will also ensure reasonable accommodation for employees with a disability.
Summit Federal Services, LLC is an equal opportunity employer regardless of race, color, religion, creed, sex, marital status, national origin, disability, age, veteran status, on-the-job injury, sexual orientation, political affiliation or belief. Employment decisions are made without consideration of these or any other factors that employers are prohibited by law from considering. Any discriminatory action can be a cause for disciplinary action. Summit Federal Services, LLC also prohibits discrimination against individuals with disabilities and will reasonably accommodate applicants with a disability, upon request, and will also ensure reasonable accommodation for employees with a disability.

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