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Machine Learning Engineer Jobs in Hinesville, GA

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Software Engineer

Savannah, GA · Remote

$120K - $140K/yr

For this role, we're seeking a Full Stack Engineer to join our team and help build the safest communications platform on the planet. Our Product We're building a communication and collaboration ...

Senior Roadway Engineer

Savannah, GA · On-site

$88K - $154K/yr

Parsons is now hiring a Senior Roadway Engineer to join our Savannah, Georgia office to support major regional transportation infrastructure projects! What You'll Be Doing: * Lead the design and ...

Senior Roadway Engineer

Savannah, GA · On-site

$88K - $154K/yr

Parsons is now hiring a Senior Roadway Engineer to join our Savannah, Georgia office to support major regional transportation infrastructure projects! What You'll Be Doing: * Lead the design and ...

Showing results 41-54

Machine Learning Engineer information

See Hinesville, GA salary details

$28.9K

$118.2K

$177.6K

How much do machine learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning engineer in Hinesville, GA is $118,186.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $142,300.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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 strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

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

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Hinesville, GA are hiring for Machine Learning Engineer jobs?

Cities near Hinesville, GA with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Hinesville, GA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $118,186 per year, or $56.8 per hour.

Quality Control Body & Paint Engineering Specialist

Hyundai Motor Company

GA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago


Job description

JOB TITLE
Quality Control Body Paint Specialist
WHAT YOU WILL DO
Paint quality control engineering position shall have an understanding of the automotive paint process, to enhance paint quality while meeting internal and external customer requirements.
• Inspect incoming raw material properties and perform online appearance checks
• Investigate and analyze defective products and develop effective countermeasures
• Establish short-term/long-term counter measures to ensure smooth production
• Collaborate with Engineering and Production on quality improvements during current production and during new project development stage
• Enhance suppliers quality level by conducting Supplier Process Audit (SPA)
and reviewing their products, tools, and systems periodically
• Participate/lead BIP audit and Color Harmony sharing inspection results with suppliers, engineering and production to request and discuss improvement plan
• Manage assigned products to meet internal/external customer requirements
• Improve efficiency of quality control management system by learning and
applying new technology, knowledge, and equipment
• Ensure the adequacy of relevant procedures and systems in accordance
to specification and applicable legal requirements
• Meet all other requirements as assigned
HOW WILL YOU MAKE AN IMPACT
HMGMA is the abbreviation of Hyundai Motor Group Metaplant America. It is Hyundai Motor Group's first dedicated EV mass-production plant and is an innovative plant with cutting-edge production technology applied.
WHAT YOU WILL BRING TO THE ROLE
Required:
• Bachelor's degree required
• Valid driver's license required
• Required Competency as below
Concern for Quality Demonstrate effort to minimize job performance errors; maintain optimal quality through quick revision and immediate corrections
Prompt Judgement and Action Use prompt judgements and actions based on professionalism and experiences to find concrete and clear solution
Complex Problem Solving Identify complex problems and review related information to develop and evaluate options and implement
Monitoring & Feedback Efficiently execute tasks and maintain quality by continuously monitoring processes and parts; provide immediate feedback with alternative options as necessary
Preferred:
• Chemical Engineering major preferred or advanced degree in a related field
• Domestic / International travel required.
WHAT HYUNDAI CAN OFFER YOU
• HMGMA offers opportunities for growth, work flexibility, competitive pay, and benefits.
• HMGMA benefits include competitive Medical / Vision / Dental insurance, paid holidays, paid time off, and competitive 401k plan.
OTHER DETAILS
Language Proficiency:
Strong command of the English language (written and spoken) is essential for safety, communication, documentation, and collaboration across the organization.
Physical Demands
While in Office:
This position is primarily sedentary and requires working at a desk and computer for extended periods. Responsibilities may include:
• Occasional lifting of office supplies (up to 15 pounds)
• Frequent use of hands and fingers for typing and handling documents
• Ability to sit, stand, and walk within the office environment as needed
When in Production Area (if applicable):
• Standing, walking, bending, and reaching for extended durations
• Repeated lifting, carrying, pushing, or pulling of materials and products (up to 25-30 pounds)
• Manual dexterity for handling power tools, machinery, or production equipment
• Working in environments that may be noisy, hot, or require the use of personal protective equipment (PPE)
• Ability to climb ladders or stairs and operate equipment safely and effectively
• Capability to learn and work on multiple production processes, as required
• Adequate visual and auditory abilities to identify safety hazards and communicate clearly
• Consistent and punctual attendance
• Ability to collaborate and perform effectively in a team-oriented environment
• FLSA Classification: Exempt/Salary
• When submitting a resume for this position, I understand that this information may be used to create a registration with the Georgia Department of Labor on Employ Georgia.
HMGMA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances