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Machine Learning Engineer Opt Jobs in Augusta, GA

Data Scientist

Augusta, GA ยท On-site

$100 - $125/hr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python ...

Data Scientist

Augusta, GA ยท On-site

$125 - $150/hr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python ...

Automation Controls Engineer

Grovetown, GA ยท On-site

$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 ...

Automation Controls Engineer

Grovetown, GA ยท On-site

$80 - $100/hr

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

Automation Controls Engineer

Grovetown, GA ยท On-site

$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 ...

Machine Operator Assistant

Thomson, GA ยท 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:

Machine Operator Assistant

Thomson, GA ยท 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:

Senior Data Engineer

Augusta, GA ยท On-site

$100 - $125/hr

Prescient Edge is seeking a Sr. Data Engineer to support a Federal Government client. Please note ... machine learning, and data visualization communities. Education * MA or MS in Data Science, Data ...

Senior Data Engineer

Augusta, GA ยท 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 ...

Data Science Tutor

Augusta, GA ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Scientist 2

Augusta, GA ยท On-site

$114K - $127K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical ...

Showing results 41-60

Machine Learning Engineer Opt information

See Augusta, GA salary details

$29.6K

$121K

$181.9K

How much do machine learning engineer opt jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning engineer opt in Augusta, GA is $121,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $145,700.00 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 into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

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 a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are popular job titles related to Machine Learning Engineer Opt jobs in Augusta, GA?

For Machine Learning Engineer Opt jobs in Augusta, GA, the most frequently searched job titles are:

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

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

Infographic showing various Machine Learning Engineer Opt job openings in Augusta, GA as of August 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $121,044 per year, or $58.2 per hour.

Data Scientist

Augusta, GA โ€ข On-site

DigiFlight, Inc.
IT Servicesย โ€ขย 51 - 200 employees

$100 - $125/hr

Other

Medical, Dental, Vision, Life, PTO

Posted 22 days ago


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data Scientist

Augusta, GA, Augusta, GA, US

3 days ago Requisition ID: 2842

Data Scientist Level 2- TS/SCI Fullscope Poly

Augusta, GA

Join an outstanding team that offers exciting job opportunities with the goal of providing the absolute best support to our customers. Here at DigiFlight we embrace integrity, innovative solutions, put our customers first and offer a highly competitive benefits package!

Description: Employ some combination (2 or more) of the following skill areas:

I. Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility)

3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)

Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in NSA/CSS data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others in withdrawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting NSA/CSS collection, processing, storage, and analytic capabilities and limitations.

Education: Bachelor's Degree with 3 years of relevant experience. Associate's degree with 5 years of relevant experience. Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence). College-level requirements or upper-level math courses designated as elementary or basic do not count.

Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

Relevant Experience: Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.

Our People

DigiFlight attracts the most highly skilled workforce to protect some of our nationโ€™s most sensitive systems. Before joining the company, many DigiFlight professionals served our country in a civilian and/or military capacity. Our diverse team provides innovative solutions as they support critical clients in tackling tough challenges. Most importantly, our team is passionate about their work and making a difference.

Our corporate culture promotes a healthy work/life balance.

DigiFlightโ€™s competitive benefits package allows employees to manage their personal and professional portfolios through a variety of features and programs. Our benefits include:

  • Health, Dental, Vision, and Flexible Spending Account
  • Paid Time Off (PTO)
  • 11 paid holidays
  • Tuition Education Assistance
  • Professional Development
  • Life insurance and short- and long-term disability insurance
  • Employee Referral Program
  • Marketing Incentive Plans

DFI offers a highly competitive, family-oriented benefits package.

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