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

ARC Group

Sr. Data Scientist

Atlanta, GA

Recognize emerging machine learning and pattern recognition algorithms and work with the team to ... For immediate consideration, please apply online while viewing all open jobs at www.arcgonline.com.

4P Consulting Inc.

Data Scientist 1

Atlanta, GA

As a Data Scientist, you will leverage your expertise in data analysis and machine learning to extract valuable insights, solve complex problems, and support data-driven decisions. You will work with ...

Intuit

Staff AI Scientist

Atlanta, GA · On-site

Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...

Intuit

Senior Staff AI Scientist

Atlanta, GA · On-site

Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...

Intuit

Senior Staff AI Scientist

Atlanta, GA

Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...

Intuit

Staff AI Scientist

Atlanta, GA · On-site

Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...

Intuit

Staff AI Scientist

Atlanta, GA

Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · Hybrid

Following the machine learning lifecycle, the data scientist should be able to convert the results ... For specific information on how FIS protects personal information online, please see the Online ...

FIS

Data Scientist Sr Lead

Atlanta, GA · Hybrid

Following the machine learning lifecycle, the data scientist should be able to convert the results ... For specific information on how FIS protects personal information online, please see the Online ...

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Showing results 1-20

All JobsOnline Machine Learning JobsOnline Machine Learning Jobs in Decatur, GA

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 Jul 9, 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 a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or executive role, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.

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 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 engineer makes $500,000 a year?

Senior machine learning engineers and AI specialists with extensive experience, advanced skills in deep learning, and strong domain expertise can earn $500,000 or more annually, especially in high-demand industries like tech and finance. Achieving this level often requires advanced degrees, certifications, and a track record of impactful projects.

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 are the key skills and qualifications needed to thrive as an Online Machine Learning Engineer, and why are they important?

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.

Are there remote machine learning jobs?

Yes, many remote machine learning jobs are available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python and TensorFlow. These roles can be full-time or part-time and may involve collaboration through online platforms and cloud-based environments.

Which 3 jobs will survive AI?

Online machine learning specialists, data scientists, and AI system engineers are likely to continue thriving as AI advances, due to their expertise in developing, managing, and interpreting complex models. These roles require advanced skills in programming, statistics, and domain knowledge, making them less susceptible to automation. Continuous learning and certification in tools like Python, TensorFlow, or cloud platforms enhance job security in this field.
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:
Online Machine Learning jobs near you
AI/ Machine Learning Engineer - (ATL or MSP)

AI/ Machine Learning Engineer - (ATL or MSP)

Cargill

Atlanta, GA • On-site

$76K - $129K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Cargill rating

7.5

Company rating: 7.5 out of 10

Based on 218 frontline employees who took The Breakroom Quiz

17th of 48 rated food wholesalers

Job description

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. 
Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come.

Job Purpose and Impact
  • Come build the AI platform that engineers across Cargill will use every day-shipping low-code and pro-code AI agents that turn real problems into real outcomes. At Cargill, you're not optimizing vanity metrics; you're helping a global company that puts food on tables around the world deliver better, faster, safer decisions at massive scale. We're looking for engineers with integrity (do the right thing when no one's watching), hunger to learn (stay curious, test, iterate), and a builder mindset (prototype, harden, scale). You'll do well here if you move work forward even with dependencies, communicate clearly, and ship value in increments-building strong relationships while finding practical paths around blockers.
Key Accountabilities
  • CI/CD & RELEASE AUTOMATION: Implements CI/CD pipelines including automated testing, evaluation checks, contract testing and controlled environment promotion to ensure reliable, repeatable and production-ready AI/ML platform and model deployments.
  • PLATFORM COLLABORATION & GOVERNANCE: Contributes to shared platform standards including API contracts, semantic versioning, repository contribution models, documentation and code reviews to enable multiple engineering teams to safely build and operate services on the platform.
  • OBSERVABILITY & OPERATIONS: Applies telemetry-first engineering practices including logs, metrics and traces to support monitoring, reliability and operational excellence. Contributes to runbooks, incident response, operational readiness and postmortems.
  • SECURITY & RESPONSIBLE AI: Implements secure-by-default practices including secrets management, least privilege access, safe logging and protections against prompt injection, tool misuse and data leakage when building and operating AI services.
Qualifications
  • Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.

Preferred Experience:

  • Builds and operates data pipelines supporting training, evaluation, deployment and monitoring of models and AI/ML services on Sgemker.
  • Experience working with AI platform components such as LLM gateways, vector databases, retrieval systems or multi-model orchestration.
  • Familiarity with retrieval workflows including embedding generation, chunking strategies and scalable retrieval patterns.
  • Familiarity with AI observability and evaluation tooling (for example LangSmith or similar platforms) and integrating automated quality checks for AI systems.
  • Experience implementing infrastructure-as-code using tools such as Terraform, CDK or similar technologies for managing cloud environments.
  • Knowledge of cloud platform fundamentals including networking, identity management, secrets management and secure service communication.
  • Experience optimizing performance, reliability and cost efficiency of AI workloads including caching strategies, model routing and workload monitoring.
  • Experience using modern developer productivity tools including code assistants and AI-enabled development workflows.
Short Description

Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.

The expected salary for this position is $76,000- $129,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellness to learn more (subject to certain collective bargaining agreements for Union positions).

Equal Opportunity Employer, including Disability/Vet.

What Cargill employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Cargill

Sourced by ZipRecruiter

Cargill was founded in 1865 as a single grain warehouse in Iowa, U.S. Since then, we’ve grown to become a global partner connecting people around the planet. But one thing has remained constant over the years: our purpose of nourishing the world in a safe, responsible and sustainable way. Cargill is committed to conducting business with integrity, operating responsibly, enriching communities and nourishing the world. In the fiscal year 2021, Cargill provided $110.5 million in total charitable contributions in 56 countries to support our communities. Cargill businesses and employee-led groups partner with local civic, nonprofit and non-governmental organizations on programs and projects that improve food security and nutrition; support human rights, equity and inclusion; strengthen farmer livelihoods; and advance our commitments in the areas of land use, water and climate.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

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