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

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 ...

GeoYeti

Senior Data Engineer

Augusta, GA · On-site

$99K - $135K/yr

Overview Senior Data Engineer Augusta, GA Active TS/SCI required At Bcore, our strength comes from ... Familiarity with private-sector data science, machine learning, and data visualization communities ...

GeoYeti

Senior Data Engineer

Augusta, GA · On-site

$99K - $135K/yr

Overview Senior Data Engineer Augusta, GAActive TS/SCI required At Bcore, our strength comes from ... Familiarity with private-sector data science, machine learning, and data visualization communities ...

Premier Packaging

Machine Operator Assistant

Thomson, GA · On-site

$17.85 - $19.85/hr

From corrugated, warehouse solutions, design & engineering to packaging supplies. Leave your past ... Be open to learning and gaining skills related to corrugated manufacturing processes. Benefits:

Premier Packaging

Machine Operator Assistant

Thomson, GA · On-site

$17.85 - $19.85/hr

Fromcorrugated, warehouse solutions, design & engineering to packagingsupplies. Leave your past ... Be open to learning and gaining skills related to corrugated manufacturing processes. Benefits:

GeoYeti

Senior Data Engineer

Augusta, GA · On-site

$99K - $135K/yr

Senior Data Engineer Augusta, GA Active TS/SCI required At Bcore, our strength comes from how we ... Familiarity with private-sector data science, machine learning, and data visualization communities ...

Prescient Edge

Senior Data Engineer

Augusta, GA · On-site

$98K - $133K/yr

Job Title Senior Data Engineer Location Augusta, GA 30905 US (Primary) Category Research ... machine learning, and data visualization communities. Education: * MA or MS in Data Science, Data ...

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

Machine Learning Engineer information

See Augusta, GA salary details

$29.3K

$119.7K

$179.9K

How much do machine learning engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for machine learning engineer in Augusta, GA is $119,744.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,400.00 and $144,100.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

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-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies 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 they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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 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 June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $119,744 per year, or $57.6 per hour.

IoT and Automation Software Developer

KSB SE and Co KGaA

Grovetown, GA • On-site

Full-time

Posted 11 days ago

Job description

KSB is a leading supplier of pumps, valves and related service. Our reliable, high-efficiency products are used in applications wherever fluids need to be transported or shut off, covering everything from building services,industry and water transport to waste water treatment, power plant processes and mining. Founded in 1871 in Frankenthal, Germany, the company has a presence on all continents with its own sales and marketing organisations and manufacturing facilities. Around the globe, more than 190 service centres and around 3,500 service specialists are on hand to provide local inspection, servicing, maintenance and repair services under the KSB SupremeServ brand. Innovative technology that is the fruit of KSB's research and development activities forms the basis for the company's success.
People. Passion. Performance. It is these three success factors that make KSB the company it is today.
At KSB, we recognise that it is people who actually make the difference - the people we employ and the people we serve. This is why we are committed to equal rights and treatment worldwide and never lose sight of the aspects ecology and sustainability when manufacturing our products.
IoT and Automation Software Developer
KSB GIW, Inc.
Department: Engineering
Reports to: IoT & Automation Product Development Manager
Location: Grovetown, Georgia
Shift: 1st
FLSA Status: Exempt
OVERVIEW:
The IoT and Automation Software Developer contributes to the development, testing, and implementation of software solutions related to GIW's slurry pump IoT and automation products. Key focus areas include:
  • IoT sensor hardware, device firmware, and cloud-based software
  • Automated suction liner adjustment systems
  • Data analysis strategies, including machine learning applications for wear and system analysis.
  • Infrastructure management of IoT devices and supporting server systems

RESPONSIBILITIES:
  • Design, develop, and maintain web platforms for GIW's IoT and automation products
  • Collaborate with internal teams, external partners, and consultants to develop software and hardware components
  • Plan and implement data analytics and forecasting tools by integrating existing analysis tools with newly developed IoT systems for enhanced predictive maintenance and part life forecasting
  • Assist in server administration and infrastructure support for the GIW IoT platform
  • Work with the GIW Hydraulic Lab to support R&D and product testing initiatives
  • Support development of internal engineering tools and applications as needed
  • Provide Electrical Engineering support to the IoT team, if qualified

QUALIFICATIONS:
Education:
  • Bachelor's degree in computer science, Computer Engineering, or Electrical Engineering.
  • Additional background in Electrical Engineering is a plus.

Experience:
  • 3-5 years of hands-on software development experience, including:
    • Web and client application development
    • Database schema design and implementation
    • Programming in Python, JavaScript, Java, and C/C++ (or another embedded systems language)
    • Working within Linux-based environments

Preferred Skills:
  • Experience with embedded systems and IoT device integration
  • Familiarity with Linux device and server administration
  • Exposure to signal processing and machine learning approaches for industrial applications
  • Knowledge of remote device management and over-the-air (OTA) updates is a plus

KSB GIW, Inc. is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. KSB GIW, Inc. makes hiring decisions based solely on qualifications, merit, and business needs at the time.
KSB Group is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. KSB makes hiring decisions based solely on qualifications, merit, and business needs at the time.
We value employees who take the initiative and are committed to our company; Employees who take responsibility and for whom business success is the focus of their actions. In return, we offer fair framework conditions for collective wages and pensions, flexible working time models, individual training opportunities and the best career prospects.

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