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Amazon Machine Learning Jobs in Georgia (NOW HIRING)

One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform The wage range for this role takes into account the wide range ...

One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform The wage range for this role takes into account the wide range ...

Senior Data Architect

Atlanta, GA · On-site

$150K - $160K/yr

... Kafka, Amazon Kinesis, or comparable event streaming technologies. * Ensure streaming data ... that support machine learning, generative AI, search, and automation use cases. * Identify ...

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VP Fleet Business Unit

Atlanta, GA · On-site +1

$200K - $250K/yr

... vision, machine learning, and generative AI. With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across ...

Senior Data Architect

Atlanta, GA · Hybrid

$64.75 - $86.50/hr

... Kafka, Amazon Kinesis, or comparable event streaming technologies. * Ensure streaming data ... that support machine learning, generative AI, search, and automation use cases. * Identify ...

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Amazon Machine Learning information

See Georgia salary details

$21.5K

$36K

$74.3K

How much do amazon machine learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for amazon machine learning in Georgia is $35,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,400.00 and $38,800.00 per year, depending on experience, location, and employer.

What types of projects and daily tasks can I expect in an Amazon Machine Learning position?

As an Amazon Machine Learning professional, your daily work may involve designing and deploying machine learning models, analyzing large datasets, and collaborating with cross-functional teams such as data engineers and product managers. You’ll frequently participate in code reviews, troubleshoot complex algorithms, and help optimize model performance for various Amazon products and services. Projects often range from natural language processing and recommendation systems to forecasting and computer vision initiatives. This dynamic environment offers exposure to cutting-edge innovation and opportunities to grow your technical and leadership skills within a global technology leader.

What are the key skills and qualifications needed to thrive in the Amazon Machine Learning position, and why are they important?

To excel in an Amazon Machine Learning role, you should possess strong expertise in machine learning algorithms, statistical analysis, programming (Python, Java, or Scala), and typically hold a degree in computer science, engineering, or a related field. Familiarity with AWS cloud services (like SageMaker, EC2, S3), big data frameworks, and relevant certifications such as AWS Certified Machine Learning are highly valuable. Effective communication, problem-solving skills, and the ability to work collaboratively in diverse teams help distinguish top candidates. These skills are crucial for developing scalable AI solutions, translating business problems into technical models, and successfully integrating them into Amazon’s large-scale operations.

What is an Amazon Machine Learning job?

An Amazon Machine Learning job involves developing, deploying, and optimizing machine learning models to improve products and services within Amazon. Professionals in this role work with large-scale data, build predictive models, and collaborate with engineering and business teams to drive data-driven decisions. Responsibilities may include data preprocessing, feature engineering, model training, and deploying machine learning solutions in production. Strong programming skills, proficiency in ML frameworks, and experience with AWS services like SageMaker are often required.

Infographic showing various Amazon Machine Learning job openings in Georgia as of July 2026, with employment types broken down into 1% Locum Tenens, 85% Full Time, 9% Part Time, 1% Temporary, 3% Contract, and 1% Summer. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $35,957 per year, or $17.3 per hour.
Data Scientist (Junior - Senior)

Data Scientist (Junior - Senior)

Clear Ridge Defense

Gordon, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

Clear Ridge Defense is seeking TS/SCI cleared professionals with polygraph to serve as Data Scientists in Fort Gordon, GA.
Roles and Responsibilities
You will...
  • Devise strategies for extracting meaning and value from large datasets.
  • Make and communicate principled conclusions from data employing mathematics, statistics, computer science, and application-specific knowledge.
  • Use various forms of analysis methodology to characterize, explore, and assess large complex datasets.
  • Translate practical mission needs and analytics questions related to large datasets into technical requirements.
  • Assist teammates in drawing appropriate conclusions from the analysis of such data.
  • Effectively communicate complex technical concepts to non-technical audiences.
  • Make informed recommendations regarding technical solutions, while maintaining awareness of unique and dynamic customer collection, processing, storage, and analytic capabilities.

Must-Haves
You possess...
  • Excellent interpersonal communication skills.
  • A Top Secret clearance with polygraph.
  • Years (3+) of relevant experience in machine learning, data science, programming, or statistical analysis.
  • A Bachelor's Degree in a Computer Science/Mathematics related field.
  • An ability to work in a fast-paced and dynamic workplace with unique TTPs.

Nice-To-Haves
  • Leadership experience.

Additional Information
Ranking #5 in Maryland and #7 in Government Services! And see how we were ranked a 2025 Top Workplace by the Baltimore Sun!
Clear Ridge Defense is the premier service solutions provider supporting the Service and Joint cyberspace operations and intelligence community in three core areas of expertise:
  • Cyber Systems & Software Engineering
  • Cyber Intelligence & Operations Planning
  • Security Risk Analysis, Mitigation & Training

All delivered by highly talented and focused team members that are supported by an unmatched professional and family-oriented culture that leverages and builds on sound, proven principles.
Benefits Snapshot:
  • 100% Fully-Covered Health, Dental, and Vision Insurance
  • 100% Fully-Covered Short-Term and Long-Term Disability Insurance
  • 100% Fully-Covered Life and AD&D Insurance
  • Unique Flexible PTO
  • 11 Paid Federal Holidays
  • $500 New Uniform Bonus for Transitioning Military
  • Monthly Tax-Free Cell Phone Stipend
  • Monthly Tax-Free Gym Wellness / Streaming Subscription Stipend to include Amazon Prime, Netflix, Audible, etc.
  • Competitive 401k Matching to plan for retirement
  • Free Financial Advising From Qualified Experts
  • Annual $5,000 Training Allotment
  • One of a Kind Referral Program- $250/mo indefinitely per successful referral, with no limit to number of referrals
  • Business Development and Client Expansion Bonuses
  • Monthly Company-Paid Socials and Events
  • Access to our Company Swag Store

Salary ranges provided are subject to the following variables and circumstances, which may impact whether the actual paid salary falls within the range:
  • The contract the employee is assigned to support. For example, this advertised position may support multiple contracts.
  • The negotiated rates between CRD and our client.
  • The option year of the contract the employee is assigned to.
  • Annual performance of the employee and/or the company.
  • If the employee takes on additional company responsibilities.
  • If the company makes a strategic hiring decision (e.g., investment in the employee) for growth opportunities.
  • If the employee does not meet the qualifications fully but a waiver is provided by CRD or our clients.
  • If the employee is assigned a lower-level labor category due to external circumstances than they actually qualify for.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.