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Google Cloud Machine Learning Engineer Jobs in Augusta, GA

Data Scientist 2

Augusta, GA ยท On-site

$115 - $128/hr

... implementing machine learning, data science, advanced analytical algorithms, programming, data ... Agile, cloud, or modernization experience Compensation & Benefits The projected salary range for ...

Experience with AWS, Azure, or Google Cloud * Knowledge of cybersecurity and secure coding practices * Familiarity with DevOps, CI/CD pipelines, and container technologies such as Docker or ...

Experience with AWS, Azure, or Google Cloud * Knowledge of cybersecurity and secure coding practices * Familiarity with DevOps, CI/CD pipelines, and container technologies such as Docker or ...

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

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

$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 ...

Cybersecurity Architect

Augusta, GA ยท On-site

$112K - $257K/yr

... Cloud security, Automation and Orchestration (A&O), identity and access management, and machine learning. Join our team, as we tackle cybersecurity challenges and shape opportunities to implement ...

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:

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 ...

Replit Tutor

Augusta, GA ยท Remote

$18 - $40/hr

Deep knowledge of Replit cloud development environment including online IDE features, multi ... Emphasizes accessible development without local setup and connects Replit to learning programming ...

Showing results 41-60

Google Cloud Machine Learning Engineer information

See Augusta, GA salary details

$22

$59

$82

How much do google cloud machine learning engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for google cloud machine learning engineer in Augusta, GA is $59.11, according to ZipRecruiter salary data. Most workers in this role earn between $50.38 and $67.36 per hour, depending on experience, location, and employer.

What is a Google Cloud Machine Learning engineer?

Google Cloud Machine Learning Engineers are professionals who design, build, and deploy machine learning models using Google Cloud Platform (GCP) services and tools. They work with large datasets, develop scalable ML solutions, and collaborate with data scientists and software engineers. Their role often includes automating data pipelines, optimizing model performance, and ensuring the reliability and security of ML deployments on the cloud. These engineers have expertise in both machine learning algorithms and cloud infrastructure, making them key contributors to data-driven projects.

What are the key skills and qualifications needed to thrive as a Google Cloud Machine Learning engineer?

To thrive as a Google Cloud Machine Learning Engineer, you need strong programming skills in Python or Java, a deep understanding of machine learning algorithms, and a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, TensorFlow, and relevant certifications like the Professional Machine Learning Engineer certification is highly valuable. Excellent problem-solving abilities, collaboration, and clear communication make someone stand out in this position. These skills and qualities are critical for designing, deploying, and optimizing scalable ML solutions that meet business objectives in cloud environments.

What are some typical cross-functional collaborations for a Google Cloud Machine Learning engineer?

As a Google Cloud Machine Learning Engineer, you'll frequently work alongside data scientists, software engineers, and product managers to design, deploy, and maintain machine learning solutions at scale. Collaboration often involves translating business requirements into machine learning pipelines, integrating models into cloud-based applications, and ensuring that solutions are robust, secure, and scalable. Regular communication with DevOps and infrastructure teams is also common to optimize model deployment and monitor performance. This cross-disciplinary teamwork is crucial for delivering impactful, production-ready AI solutions.

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

AspectGoogle Cloud Machine Learning EngineerData Scientist
Required CredentialsGoogle Cloud certifications, programming skills, ML knowledgeStatistics, data analysis, programming, often with advanced degrees
Work EnvironmentCloud platforms, coding, deploying ML modelsData analysis, modeling, reporting, often in research or business settings
Employer & Industry UsageTech companies, cloud service providers, enterprises using Google CloudVarious industries including finance, healthcare, marketing, research

Google Cloud Machine Learning Engineers focus on developing and deploying ML models on Google Cloud, requiring cloud certifications and coding skills. Data Scientists analyze data, build models, and generate insights, often with advanced degrees. While both roles work with data and ML, the Engineer role emphasizes cloud deployment and infrastructure, whereas Data Scientists focus on data analysis and modeling.

What are the most commonly searched types of Google Cloud Machine Learning Engineer jobs in Augusta, GA?

The most popular types of Google Cloud Machine Learning Engineer jobs in Augusta, GA are:

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

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

What job categories do people searching Google Cloud Machine Learning Engineer jobs in Augusta, GA look for?

The top searched job categories for Google Cloud Machine Learning Engineer jobs in Augusta, GA are:

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

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

Data Scientist 2

Weeghman & Briggs LLC

Augusta, GA โ€ข On-site

$115 - $128/hr

Other

Posted 4 days ago


Job description

Data Scientist 2

Location: Ft. Gordon, GA | Onsite Clearance Required: TS/SCI with Polygraph Employment Type: Full-Time Salary Range: $114,900-$127,700

Join a Growing Team at Weeghman & Briggs

Weeghman & Briggs is seeking a motivated and mission-driven Data Scientist 2 to support critical government initiatives in Ft. Gordon, GA.

Founded in 2016 by Anthony Jordan, Weeghman & Briggs specializes in delivering high-impact analytical services to Government Agencies and private organizations. Since our founding, we have partnered with a range of federal entities and private corporations, earning a strong reputation as a trusted, results-driven company with an exceptional team of professionals.

As we continue to expand across current programs and upcoming contract awards, we are looking for talented individuals who want to contribute, grow, and build something meaningful alongside us.

At Weeghman & Briggs, you're more than a number, you're part of the team. We've built a culture where your opinion matters, your voice is heard, and your contributions make a direct impact on mission success. Our growth creates opportunity for advancement, leadership visibility, and long-term career development while maintaining the supportive, close-knit environment that sets us apart.

If you're ready to grow your career while supporting important national missions, we'd love to connect with you.

What You'll Do
  • Support mission-critical programs in secure government environments
  • Analyze requirements and translate them into actionable solutions
  • Collaborate with cross-functional teams to deliver high-quality results
  • Ensure compliance with contract and security standards
  • Contribute ideas to improve processes, efficiency, and performance
  • Perform tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and supports data visualization and analytics
What You Bring
  • Active TS/SCI with Polygraph
  • Experience supporting government or DoD programs
  • Ability to work independently and within a collaborative team environment
  • Strong written and verbal communication skills
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment, experience as a data scientist working to support a single or multiple domain areas, and/or software engineering.
  • Bachelor's degree and 3years' relevant experience OR Associate's degree plus 5 years' experience may be considered for individuals with in-depth experience that is clearly related to the position.
  • Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field, a degree in the physical/hard sciences, or other science disciplines with a substantial computational component may be considered if it includes a concentration of coursework in advanced mathematics and/or computer science.
Preferred Qualifications
  • Relevant certifications (Security+, CISSP, PMP, AWS, etc.)
  • Agile, cloud, or modernization experience
Compensation & Benefits

The projected salary range for this position is $114,900-$127,700, dependent upon experience, qualifications, and contract requirements.

At Weeghman & Briggs, we believe our people are our greatest strength. We offer a competitive benefits package designed to support you both professionally and personally.

Learn more about our comprehensive benefits here: https://weeghmanandbriggs.com/summary-of-employee-benefits/

Equal Employment Opportunity

Weeghman & Briggs is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local laws.

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