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Machine Learning Engineer Jobs in Grovetown, 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 ...

DataAnnotation

SDLC 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 ...

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 ...

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

Machine Learning Engineer information

See Grovetown, GA salary details

$28.8K

$117.7K

$176.8K

How much do machine learning engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning engineer in Grovetown, GA is $117,678.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $141,600.00 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 Grovetown, GA? The most popular types of Machine Learning Engineer jobs in Grovetown, GA are:
What are popular job titles related to Machine Learning Engineer jobs in Grovetown, GA? For Machine Learning Engineer jobs in Grovetown, GA, the most frequently searched job titles are:
What cities near Grovetown, GA are hiring for Machine Learning Engineer jobs? Cities near Grovetown, GA with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Grovetown, GA as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $117,678 per year, or $56.6 per hour.
Senior Data Engineer with Security Clearance

Senior Data Engineer with Security Clearance

Altamira Technologies

Fort Eisenhower, GA • On-site

$96K - $131K/yr

Other

Re-posted 13 days ago

Job description

Altamira Technologies has a long and successful history of providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence, and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data, and security. Altamira believes that our people and company culture differentiates us from other companies.
 
We focus on recruiting talented, self-motivated employees who strive to get things done.    An Altamira Data Engineer is an integral member of an analytic and engineering team. The data scientist is expected to participate in the design, development, and implementation of novel analytics to address a variety of customer problem sets. We are highly interested in individuals who can craft narratives around their analytics, producing highly visual representations of both the output and the innerworkings of analytic methods. The Data Engineer should be versed in statistics, predictive modeling, machine learning, computational simulation, geospatial modeling, network science, or other analytic techniques. This individual will also have a firm grasp of the environments in which the analytics must be deployed, whether stand-alone, within a broader software architecture, in the cloud, etc. While a heavy programming background is not required, sufficient technical knowledge to implement the analytics is highly desired.  Minimum Education / Experience
MA or MS in Data Science, Data Analytics, Informatics, Statistics, or related field AND 5 years CURRENT
Intelligence Analysis experience; OR
BA or BS in Data Science, Data Analytics, Informatics, Statistics, or related field AND 10 years CURRENT Intelligence Analysis experience; OR HS diploma/GED AND Specialized Training with at least 15 years of Intelligence Analysis experience to include 10 years of CURRENT GEOINT Analysis experience AND 5 years of Data Analytics, Informatics, Statistics
experience
Minimum Qualifications
· Excellent written & oral communication, research, and analytic skills
· Expert ability to manage personnel, requirements, and coordination of projects
· Expert capabilities to research, create, develop, and deliver professional briefings, multimedia presentations, and written reports
· Experience utilizing programming languages such as SAS, R, Java, C, MATLAB, ScaLa, or Python; experience accelerating large data transactions across industry- leading GPU architectures to answer analytic questions
· Experience with assessments, enterprise data integration, governance, and metrics, including the application of metadata management techniques and ability to interrogate databases efficiently using SQL
· Experience with tradecraft and publication; ability to coordinate and support cross- community meetings and working groups; assimilate large volumes of information, and independently produce reports using data science focused libraries such as Pandas, Scikit, TensorFlow and Gensim to answer analytical questions
Desired Experience
· Knowledge of Army structure and defense level intelligence operations: intelligence collection, fusion, analysis, production, and dissemination for intelligence databases and products
· Knowledge and experience with intelligence operations and in assisting with drafting expert assessments across operations priorities on behalf of the stakeholder
· Specialized training from any intelligence collection and analysis school or certification to include GEOINT Professional Certification (GPC-F, GPC _IA-II, GPC_GA-II, GPC_IS-II, etc.)
· Knowledge and understanding of the National System for GEOINT (NSG) and Intelligence Community; knowledge of private sector data science/analytics, machine learning, and data visualization communities Altamira is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or protected veteran status.

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