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

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 ...

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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.
Software Engineer

Software Engineer

Altamira Technologies Corp.

Fort Eisenhower, GA

Full-time

Posted 26 days ago

Job description

Altamira Technologies has a long and successful history 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 the culture of our company differentiate us from other companies.


Location: Warrenton VA. / Augusta GA.


Position Description: We are seeking Software Engineers that possess a mix of talent areas related to full stack development. As part of our team, you will provide software and web development services. Our ideal candidate would possess a broad range of skills as our scope of work spans various technologies. Examples of technologies we are currently using to support our customers include Java, Python, JavaScript, Angular, React, and ElasticSearch. Altamira Technologies Corporation encourages independent problem solving but also provides deep reach-back support and a collaborative environment for our engineering team. We are looking for candidates who have experience with developing and are not afraid to adapt to the right architecture, languages, and libraries to build the best systems for the mission and deliver the best user experience.


Role and Responsibilities:
• Produce software based on desired functionality provided by users and analysts
• Interpret mission needs and requirements to produce user-friendly software systems
• Leverage continuous integration to create sustainable and maintainable software
• Interact with teammates and users through whiteboard sessions and/or design documents to establish circular feedback.


Education and Experience:
• Bachelor’s in Computer Science, Computer Engineering, Electrical Engineering, or a related field
• Experience in one or more of the following: Java, JavaScript/Typescript, Python, Angular, ELK stack, Redis, Web Services (REST), Containerization (such as docker, lxc), Kubernetes, helm, Machine Learning, Data Analytics, Android development, NoSQL and SQL databases, Xmidas, Digital Signal Processing.


Abilities and Competencies:
• TS/SCI REQUIRED. NO EXCEPTIONS.
• Self-motivated and eager to work intently to satisfy mission requirements
• Adaptable and has the desire to maintain our company culture
• Ability to effectively communicate in verbal and written communications
• Ability to multitask and adjust priorities as needed

Apply