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Google Cloud Machine Learning Engineer Jobs in Augusta, GA

GOEBEL FIXTURE COMPANY

Web App Developer

Augusta, GA · On-site

$70 - $110/hr

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 ...

New

LNO, Inc.

Web App Developer

Fort Eisenhower, GA · On-site

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 Kubernetes.

LNO, Inc.

Web App Developer

Augusta, GA · On-site

Preferred Qualifications: • Experience with AWS, Azure, or Google Cloud. • Knowledge of cybersecurity and secure coding practices. • Familiarity with DevOps, CI/CD pipelines, and container ...

iNovex Information Systems

Data Scientist 3

Augusta, GA · On-site

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

iNovex Information Systems

Data Scientist 2

Augusta, GA · On-site

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

Via Logic LLC

Web and Application Developer

Augusta, GA · On-site

$65.65 - $118.68/hr

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 ...

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All JobsGoogle Cloud Machine Learning Engineer JobsGoogle Cloud Machine Learning Engineer Jobs in Augusta, GA

Google Cloud Machine Learning Engineer information

See Augusta, GA salary details

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$59

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

As of Aug 19, 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:

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

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Google Cloud Machine Learning Engineer jobs near you

Senior Data Engineer

Altamira Technologies Corp.

Fort Eisenhower, GA

$98K - $133K/yr

Full-time

Re-posted yesterday

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

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