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Machine Learning Engineer Opt Jobs in Macon, GA (NOW HIRING)

Yancey Bros.co

Heavy Equipment Training Instructor

Macon, GA

$47K - $62K/yr

... learning more about our customers, offering equipment and support to keep up with their changing ... Lectures classes on safety, installation, programming, testing, maintenance and repair of machinery ...

Yancey Bros. Co.

Heavy Equipment Training Instructor

Macon, GA · On-site

$47K - $62K/yr

... learning more about our customers, offering equipment and support to keep up with their changing ... Lectures classes on safety, installation, programming, testing, maintenance and repair of machinery ...

Yancey Bros.co

Boot Camp Training Instructor

Macon, GA · On-site

$47K - $62K/yr

Schedule, demonstrate and manage the learning plan and day to day activities of the boot campers in ... Lectures classes on safety, installation, programming, testing, maintenance and repair of machinery ...

Unified Prince

Inside Project Manager

Macon, GA · On-site

This role works closely with senior project managers, estimators, engineering, and shop supervisors ... learning how complex builds come together. Who We Are: Founded in 1965, Prince Service & Mfg. has ...

Unified Prince

Inside Project Manager

Macon, GA · On-site

This role works closely with senior project managers, estimators, engineering, and shop supervisors ... learning how complex builds come together. Who We Are: Founded in 1965, Prince Service & Mfg. has ...

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All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Macon, GA

Machine Learning Engineer Opt information

See Macon, GA salary details

$30.2K

$123.5K

$185.6K

How much do machine learning engineer opt jobs pay per year?

As of Jul 13, 2026, the average yearly pay for machine learning engineer opt 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 are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.
What are popular job titles related to Machine Learning Engineer Opt jobs in Macon, GA? For Machine Learning Engineer Opt jobs in Macon, GA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Opt jobs in Macon, GA look for? The top searched job categories for Machine Learning Engineer Opt jobs in Macon, GA are:
What cities near Macon, GA are hiring for Machine Learning Engineer Opt jobs? Cities near Macon, GA with the most Machine Learning Engineer Opt job openings:
Machine Learning Engineer Opt jobs near you
Infographic showing various Machine Learning Engineer Opt job openings in Macon, GA as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $123,498 per year, or $59.4 per hour.

Senior Modeling and Simulation Analyst

Summit Federal Services LLC

Gordon, GA • On-site

$82K - $109K/yr

Full-time

Posted 20 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 Modeling and Simulation Analyst 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
Position Summary
The Senior Modeling and Simulation Analyst develops, analyzes, validates, and applies modeling and simulation tools to support operational analysis, system development, test and evaluation, training, acquisition programs, and strategic decision-making. This role provides technical expertise in building and executing simulations, analyzing complex data sets, and delivering actionable recommendations to stakeholders in government, defense, aerospace, or commercial environments.
Key Responsibilities
  • Develop, execute, and maintain modeling and simulation environments for system performance, mission effectiveness, and operational analysis.
  • Design simulation scenarios, experiments, and analytical studies to evaluate system capabilities and operational concepts.
  • Conduct statistical analysis, sensitivity studies, and performance assessments.
  • Verify, validate, and accredit (VV&A) simulation models and analytical tools.
  • Analyze large data sets and generate technical reports, briefings, and recommendations.
  • Support system engineering, test and evaluation, and requirements development activities.
  • Collaborate with engineers, software developers, operators, and program managers to define analytical objectives.
  • Develop automated analysis tools and scripts to improve efficiency and repeatability.
  • Present findings to senior leadership, customers, and technical review boards.
  • Support modeling and simulation efforts throughout the system lifecycle.
Required Qualifications
  • Bachelor's degree in Engineering, Computer Science, Mathematics, Physics, Operations Research, Applied Mathematics, or a related technical field.
  • Typically 8-15+ years of experience in modeling, simulation, systems analysis, or operations research.
  • Strong understanding of probability, statistics, and quantitative analysis methods.
  • Experience developing and executing analytical models and simulations.
  • Proficiency with one or more programming or analysis languages:
    • Python
    • MATLAB
    • R
    • C++
    • Java
  • Strong technical writing and presentation skills.
  • Top Secret Security Clearance
Preferred Qualifications
  • Master's degree or Ph.D. in a technical discipline.
  • Experience supporting defense, aerospace, intelligence, or federal government programs.
  • Knowledge of Department of Defense acquisition, test, and evaluation processes.
  • Experience with:
    • Mission-level simulations
    • Discrete event simulation
    • Monte Carlo analysis
    • Digital engineering environments
    • Systems-of-systems analysis
  • Active Secret or TS/SCI security clearance.
Desired Technical Skills
  • Modeling and simulation frameworks
  • Statistical analysis and data science methods
  • Verification, Validation, and Accreditation (VV&A)
  • Data visualization and reporting
  • Machine learning and predictive analytics
  • System performance analysis
  • Requirements analysis and trade studies
  • High-performance computing environments
  • Digital engineering and model-based systems engineering (MBSE)
Common Modeling & Simulation Tools
  • MATLAB
  • Simulink
  • Arena Simulation
  • AnyLogic
  • STK
  • Cameo Systems Modeler
  • ModelCenter

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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