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

Mercer University

Software Engineer

Warner Robins, GA · On-site

RESPONSIBILITIES: • Full stack software development • Develops embedded software, engineering/scientific software, web applications, machine learning, and/or artificial intelligence-based ...

AAA USA

Machinist Operator

Warner Robins, GA · On-site

$40 - $52/hr

Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ... Study sample parts, drawings, or engineering information in order to determine methods and ...

New

Novolex

Process Engineer

Macon, GA

Establishes set-up and processing parameters based on material, machine capabilities. * Develops ... Learning Management System that supports and enhances employee skills at all levels of the ...

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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 14, 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.
Software Engineer

Software Engineer

Mercer University

Warner Robins, GA

Full-time

Medical, Dental, Retirement, PTO

Re-posted 4 days ago

Mercer University rating

7.7

Company rating: 7.7 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

226th of 553 rated colleges and universities

Job description

Application Instructions:

External Applicants: Please upload your resume on the Apply screen. Your application will automatically populate your resume details, and you may verify and update data on the My Information page.

IMPORTANT: Please review the job posting and load ALL documents required in the job posting to the Resume/CV document upload section at the bottom of the My Experience application page. Use the Select Files button to add multiple documents including your Resume/CV, references, cover letter, and any other supporting documents required in the job posting. The "My Experience" page is the only opportunity to add your required supporting document attachments. You will not be able to modify your application after you submit it.

CurrentMercer University Employees: Apply from your existing Workday account. Do not apply from the external careers website. Log in to Workday and type Jobs Hub in the search bar. Locate the position and click Apply.

Job Title:Software Engineer


Department:MERC


College/Division:Mercer Engineering Research Center


Primary Job Posting Location:

Warner Robins, GA 31088-7810Job Details:Mercer Engineering Research Center (MERC), a research institute of Mercer University, provides high quality engineering, scientific, and technical support services to both government and private industry customers. We are currently recruiting for a Software Engineer in support of the Software/Cyber Directorate. The incumbent will be responsible for developing web-based applications or programs, modifying existing software, incorporating new hardware, improving performance, adding new capabilities, or upgrading interfaces. Works under the direction of a Technical Lead on larger projects.


RESPONSIBILITIES:
Full stack software development
Develops embedded software, engineering/scientific software, web applications, machine learning, and/or artificial intelligence-based software solutions
Communicates with colleagues and more senior developers on technical designs and development
Documents the software design using flowcharts, layouts, diagrams, self-documenting code, inline comments, and/or other appropriate documentation
Develops software solutions by studying user requirements, data usage, and systems flow
Provides project status to internal and external customers
Analyzes source code and recommends software quality and/or performance improvements
Manages the software development life cycle
Decomposes typical, non-complex software requirements into actionable steps
Manages role-based access control and access control list for systems and devices
Prepares reports on programming project specifications, activities, or status
Directs system testing and validation procedures
Directs software programming and documentation development
Collaborates with colleagues, customers, and other companies on software and cybersecurity projects
Complies with all Executive Director approved MERC-wide policies and procedures
Adheres to approved MERC MSP quality management policies and principles and promotes an attitude of commitment to continuous quality improvement
Ensures thorough familiarity and awareness of all MERC core capabilities and remains alert for any opportunities to promote MERC capabilities and interests to customers and potential customers
Submits suggestions for new business opportunities or report identified customer problems or opportunities to the Director of Acquisition Strategy through a Chief Engineer

REQUIRED QUALIFICATIONS:
US Citizenship is required
Ability to obtain and maintain a DoD Security Clearance
A Bachelor's, Master's, or PhD degree in Software Engineering, Computer Engineering, or Computer Science from an ABET-accredited institution
Possesses or is capable of possessing Security+ CE Certification
Experience with Python, Java, JavaScript, jQuery, C#, and Microsoft.NET frameworks including MVC, Web Forms and/or Microsoft.NET core
Experience in using secure coding practices
Experience in using database design principles and Structured Query Language
Experience in using the agile framework and software development life cycle
Experience in developing testing strategies for components and applications
Additional requirements may be added as appropriate and as specified in the specific Personnel Requisition Form

DESIRED QUALIFICATIONS:
Experience with Oracle/SQL Server
Knowledge of Docker and/or Kubernetes
Experience with AWS, Google Cloud or Azure

Excellent communication skills to work with cross functional teams

Strong passion for software development

Familiarity with Azure Dev Ops

* Proficiency with MS Office, MS Teams, Adobe Suite

Final rank will be determined based on the qualifications and experience of the selected candidate.

BENEFITS OF WORKING AT MERC
MERC is a non-profit research institute of Mercer University, a private university founded in 1833. Established in 1987 in Warner Robins, GA, MERC employs more than 200 engineers, scientists, professors, and support staff, who provide sustainable research solutions to government agencies, the Department of Defense, and commercial customers around the world. Warner Robins and the middle GA area are located 90 miles south of Atlanta and within easy driving distance of both the beach and mountains. The area is known for its Southern-style music, food, and restaurants and has a rich cultural and art presence, along with excellent health care and schools. MERC offers a generous benefits package including health and dental insurance, retirement, tuition reimbursement, vacation/sick leave accrual, and holiday pay.



Why Work at Mercer University

Mercer University offers a variety of benefits for eligible employees including comprehensive health insurance (for self and dependents), generous retirement contributions, tuition waivers, paid vacation and sick leave, technology discounts, schedules that allow for work-life balance, and so much more!

At Mercer University, a Bear is more than a mascot: it's a frame of mind that begins with a strong desire to make the most out of your career. Mercer Bears do not settle for mediocrity or the status quo. If you're seeking an environment where your passion and determination are embraced, then you want to work at Mercer University.

For more information, please visit:https://hr.mercer.edu/prospective-employees/

Scheduled Weekly Hours:40


Job Family:Staff MERC Exempt


EEO Statement:

EEO/Veteran/Disability

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