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Entry Level Google Cloud Machine Learning Engineer Jobs in Atlanta, GA

CNN

Machine Learning Engineer I

Atlanta, GA · On-site

CNN is a global leader in news and information, seeking a Machine Learning Engineer I to build and ... of cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes) • ...

Socket.dev

Machine Learning Engineer I

Atlanta, GA · On-site

$99.40 - $184.60/hr

CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power ... Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes)

The E Group

Be Seen First

Machine Learning Engineer

Atlanta, GA · On-site

$50 - $60/hr

Machine Learning Engineer 3 Date Posted: 7/31/26 Location: Atlanta, GA 30308 Job Type: Contract Full-Time Immediate W2 contract position available in Atlanta, GA. Estimated Duration: 4.5 months ...

Virtual Networx

AI/ML Engineer

Atlanta, GA · On-site

Fine-tune and optimize machine learning models. * Deploy models using Docker, Kubernetes, and cloud ... AWS, Azure, or Google Cloud * Docker and Kubernetes * Data preprocessing and feature engineering

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... cloud ML infrastructure (AWS, GCP, or Azure) Knowledge of handling large scale image data, data ...

PlayAGS, Inc.

Machine Learning Engineer

Duluth, GA · On-site

$120 - $180/hr

Productionalizemodels-- packagemodelsfordeploymentonAzureML/Fabric,withMLflow-basedregistry,monitoring,andretrainingpipelines Skills/Requirements * 4-8 years of data science and/or ML engineering ...

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All JobsGoogle Cloud Machine Learning Engineer JobsEntry Level Google Cloud Machine Learning Engineer JobsEntry Level Google Cloud Machine Learning Engineer Jobs in Atlanta, GA

Entry Level Google Cloud Machine Learning Engineer information

See Atlanta, GA salary details

$28.9K

$66.7K

$113.5K

How much do entry level google cloud machine learning engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for entry level google cloud machine learning engineer in Atlanta, GA is $66,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $75,500.00 per year, depending on experience, location, and employer.
What are popular job titles related to Entry Level Google Cloud Machine Learning Engineer jobs in Atlanta, GA? For Entry Level Google Cloud Machine Learning Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
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Entry Level Google Cloud Machine Learning Engineer jobs near you
Infographic showing various Entry Level Google Cloud Machine Learning Engineer job openings in Atlanta, GA as of July 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $66,702 per year, or $32.1 per hour.

Machine Learning Engineer III 4P/791

4P Consulting Inc.

Atlanta, GA

Contractor

Posted 9 days ago

Job description

Position: Machine Learning Engineer III – AI/ML Product Engineering

Location: Atlanta, GA

Duration: 5 Months
Client: Southern Company Services

Southern Company Services is seeking an experienced Machine Learning Engineer III to develop scalable, reusable, and production-grade AI products for deployment across multiple operating companies.

This role will focus on Retrieval-Augmented Generation, multi-agent systems, natural language processing, model deployment, and cloud-based AI solutions. The ideal candidate will have strong software engineering skills, hands-on AI/ML experience, and expertise with Azure or Google Cloud Platform.

Key Responsibilities

· Design and build modular, reusable AI components and services.

· Develop scalable RAG solutions using structured and unstructured data.

· Engineer multi-agent systems for task coordination, workflow automation, and decision support.

· Build transcription and NLP pipelines for customer-interaction analysis.

· Develop and fine-tune models using PyTorch, Hugging Face Transformers, LangChain, or similar frameworks.

· Package and deploy models using Azure Machine Learning, Google Cloud Platform, or Databricks.

· Integrate Databricks for data ingestion, feature engineering, experimentation, and model development.

· Develop reusable libraries, APIs, templates, and engineering patterns.

· Partner with MLOps, DevOps, data engineering, architecture, and product teams.

· Implement monitoring for model performance, data drift, system usage, and operational reliability.

· Ensure AI solutions meet enterprise security, privacy, compliance, scalability, and observability requirements.

· Provide technical guidance to teams adopting shared AI products and components.

Required Qualifications

· Strong experience developing and deploying production-grade AI and machine learning solutions.

· Hands-on experience with RAG architectures, LLM applications, multi-agent systems, and NLP.

· Experience with Azure AI services, Google Cloud Platform AI services, or Azure Machine Learning.

· Proficiency with Python and frameworks such as PyTorch, Transformers, or LangChain.

· Experience deploying scalable models and AI services in cloud environments.

· Knowledge of APIs, software engineering practices, model monitoring, and MLOps.

· Experience working with structured and unstructured datasets.

· Strong communication, collaboration, analytical, and problem-solving skills.

Preferred Qualifications

· Experience with Databricks, vector databases, embeddings, and semantic search.

· Experience building reusable enterprise AI platforms or shared AI services.

· Knowledge of model evaluation, data drift, observability, and responsible AI.

· Familiarity with CI/CD, containers, Kubernetes, and cloud-native deployment.

· Utility, energy, or regulated-industry experience is preferred.