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Online Machine Learning Jobs in Decatur, GA (NOW HIRING)

AI Machine Learning Scientist

Atlanta, GA · On-site +1

  • Medical

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  • Life

  • Retirement

  • PTO

AI Machine Learning Scientist AI Machine Learning Scientist Location: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing ...

AI Machine Learning Scientist

Atlanta, GA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI Machine Learning Scientist Location: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support productivity and ...

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... You'll be the linchpin between engineering teams working downstream to build out our online ...

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... You'll be the linchpin between engineering teams working downstream to build out our online ...

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... You'll be the linchpin between engineering teams working downstream to build out our online ...

Staff Machine Learning Engineer - Search

Atlanta, GA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Staff Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our ... You'll be the linchpin between engineering teams working downstream to build out our online ...

Staff Machine Learning Engineer - Search

Atlanta, GA · On-site

$159 - $208.95/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Staff Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our ... You'll be the linchpin between engineering teams working downstream to build out our online ...

Staff Machine Learning Engineer - Search

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Staff Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our ... You'll be the linchpin between engineering teams working downstream to build out our online ...

Salary Range : $139,000 - $215,000 per year WHY FOLLOW IF YOU CAN LEAD? Our Atlanta-based client is seeking an experienced engineer to advance their AI capabilities. Using state-of-the-art sensor and ...

Showing results 21-40

Online Machine Learning information

See Decatur, GA salary details

$24.9K

$41.6K

$85.9K

How much do online machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for online machine learning in Decatur, GA is $41,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,700.00 and $44,900.00 per year, depending on experience, location, and employer.

What is online machine learning?

Online machine learning is a method where models are trained incrementally as new data becomes available, rather than being trained all at once on a fixed dataset. This approach is particularly useful in environments where data arrives continuously, such as real-time analytics, recommendation systems, and fraud detection. Online learning algorithms update their knowledge with each new data point, allowing them to adapt quickly to changes and trends. This makes them ideal for applications that require immediate responses and adaptability to evolving data streams.

What are the key skills and qualifications needed to thrive as an online machine learning engineer?

To excel as an Online Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning algorithms, often supported by a relevant degree and experience with streaming data. Familiarity with tools such as Apache Kafka, Spark Streaming, Python, TensorFlow, and real-time data processing frameworks is critical. Problem-solving ability, adaptability, and effective communication are essential soft skills for collaborating with multidisciplinary teams and responding to rapidly changing data. These competencies are crucial for building scalable, responsive models that provide timely insights in dynamic production environments.

How does collaboration typically work between online machine learning engineers and data scientists in a project setting?

Online machine learning engineers often work closely with data scientists to ensure that the models they develop can be effectively deployed and updated in real-time environments. While data scientists may focus on feature engineering, model selection, and initial training using historical data, online machine learning engineers are responsible for integrating these models into production systems and implementing mechanisms for continuous learning from live data streams. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth collaboration and ensure that the models remain accurate and efficient as new data arrives.

What is the difference between Online Machine Learning vs Data Scientist?

AspectOnline Machine LearningData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related fields; certifications in ML or data analysisBachelor's or master's in CS, statistics, or related fields; advanced degrees often preferred
Work EnvironmentTech companies, startups, research labs; focus on real-time data processingCorporate, consulting, or research settings; focus on data analysis and modeling
Industry UsageMachine learning applications, AI development, real-time systemsData analysis, predictive modeling, business insights

Online Machine Learning specialists focus on developing algorithms that learn continuously from streaming data, often in real-time environments. Data Scientists analyze large datasets to extract insights, build models, and support decision-making. While both roles require knowledge of machine learning, Online Machine Learning emphasizes real-time data processing, whereas Data Scientists focus on data analysis and modeling for strategic insights.

What are the most commonly searched types of Machine Learning jobs in Decatur, GA?

The most popular types of Machine Learning jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Online Machine Learning jobs?

Cities near Decatur, GA with the most Online Machine Learning job openings:

Machine Learning Engineer III 4P/791

4P Consulting Inc.

Atlanta, GA

Contractor

Posted 19 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.