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Machine Learning Engineer Jobs in Augusta, GA (NOW HIRING)

Textron

Data Scientist

Augusta, GA · On-site

Builds, tests, and refines statistical and machine learning models using established methodologies ... Partners with engineering, IT, and business stakeholders to deploy analytics solutions into ...

New

Ksb

Automation Controls Engineer

Grovetown, GA

$76K - $101K/yr

Engineering Reports to: Senior Design Engineer Location: Grovetown, GA, USA (onsite) Shift: First ... Basic understanding of machine learning and data analysis methods * Basic understanding of ...

New

Textron

Data Scientist

Augusta, GA · On-site

... machine learning models using established methodologies and best practices. • Evaluates data ... Qualifications : Required : • Bachelor's degree in Data Science & Analytics, Engineering ...

New

DataAnnotation

QA Engineer - AI Trainer

Augusta, GA · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

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Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Augusta, GA

Machine Learning Engineer information

See Augusta, GA salary details

$24.8K

$101.5K

$152.5K

How much do machine learning engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for machine learning engineer in Augusta, GA is $101,470.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $122,100.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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 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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Augusta, GA? The most popular types of Machine Learning Engineer jobs in Augusta, GA are:
What are popular job titles related to Machine Learning Engineer jobs in Augusta, GA? For Machine Learning Engineer jobs in Augusta, GA, the most frequently searched job titles are:
What cities near Augusta, GA are hiring for Machine Learning Engineer jobs? Cities near Augusta, GA with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Augusta, GA as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $101,470 per year, or $48.8 per hour.
Data Scientist

Data Scientist

Textron

Augusta, GA • On-site

Full-time

Posted 3 days ago

New

Textron rating

8.3

Company rating: 8.3 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

26th of 61 rated aerospace companies

Job description

Textron Specialized Vehicles Inc. is a leading global manufacturer of golf cars, utility and personal transportation vehicles, professional turf-care equipment, and ground support equipment. Textron Specialized Vehicles markets products under several different brands. Its vehicles are found in environments ranging from golf courses to factories, airports to planned communities, and theme parks to hunting preserves.
Responsibilities
  • Translates defined business needs into structured analytical approaches, hypotheses, and execution plans.
  • Acquires, prepares, and integrates data from multiple sources to support modeling, reporting, and analysis.
  • Builds, tests, and refines statistical and machine learning models using established methodologies and best practices.
  • Evaluates data quality, identifies gaps or inconsistencies, and applies appropriate techniques to improve data usability.
  • Partners with engineering, IT, and business stakeholders to deploy analytics solutions into operational workflows within defined scope.
  • Develops dashboards, visualizations, and reporting that deliver clear, actionable insights to stakeholders.
  • Monitors model and solution performance, investigates variances, and implements improvements to maintain accuracy and reliability.
  • Documents data sources, methodologies, assumptions, and outputs to ensure reproducibility and compliance with governance standards.
  • Contributes reusable code, tools, and analytics components that improve team efficiency and consistency.
  • Applies enterprise data governance, security, and documentation standards throughout the analytics lifecycle.

Education: Bachelor's degree in Data Science & Analytics, Engineering, Mathematics, Industrial Engineering, Computer Science, Economics/Finance, Statistics, Applied Statistics, or Operations Research required.
Years of Experience: 3 + years of professional experience required. Experience developing analytics, predictive models, dashboards, or reporting solutions in a business environment preferred.
Software Knowledge:
  • Proficiency in Python and/or R, with solid SQL skills for querying, transforming, and analyzing data required.
  • Experience with data visualization and reporting tools such as Power BI or similar platforms required.
  • Experience working with structured enterprise data sources preferred.
  • Familiarity with machine learning model development, validation, and performance monitoring required.

Additional Requirements:
  • Strong analytical and problem-solving skills with the ability to work through moderately complex business and data challenges.
  • Ability to independently manage assigned work and deliver high-quality outputs within defined scope.
  • Effective written and verbal communication skills, including the ability to explain findings clearly.
  • Strong collaboration skills and ability to work across technical and business teams.
  • Attention to detail and commitment to documentation, governance, and continuous improvement.

What Textron employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Textron

Sourced by ZipRecruiter

Textron Systems is part of Textron, a $14 billion, multi-industry company employing 35,000 talented makers, thinkers, creators and doers worldwide. We make things that fly, hover, zoom and launch. Things that move people. Protect soldiers. Power industries. We serve customers in industries spanning aerospace and defense, specialized vehicles, turf care and fuel systems.

Industry

Aerospace product and parts manufacturing

Company size

10,000+ Employees

Headquarters location

Providence, RI, US

Year founded

1923

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