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

Design and develop machine learning algorithms and deep learning applications and systems for [Company X] * Solve complex problems with multilayered data sets, and optimize existing machine learning ...

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.

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 ...

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 ...

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 ...

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$24.9K

$41.6K

$85.9K

How much do online machine learning jobs pay per year?

As of Jun 18, 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 jobs pay $2000 a day?

In the field of online machine learning, highly specialized roles such as AI consultants, data science experts, or machine learning engineers working on large-scale projects can earn around $2,000 per day, especially with extensive experience, advanced skills in programming and algorithms, and working as independent contractors or consultants. These roles often require strong expertise in tools like Python, TensorFlow, or cloud platforms, and may involve project-based or freelance work with flexible schedules.

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 is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, often requiring advanced expertise, leadership skills, and extensive experience. These positions usually involve strategic decision-making, overseeing AI projects, and may require knowledge of deep learning, data science, and relevant tools like TensorFlow or PyTorch.

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.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in algorithms and data modeling, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.

Which 3 jobs will survive AI?

Online machine learning specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require advanced skills in programming, statistical analysis, and domain knowledge, making them less susceptible to automation. Continuous learning and certification in relevant tools like Python, TensorFlow, or cloud platforms can 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 are popular job titles related to Online Machine Learning jobs in Decatur, GA? For Online Machine Learning jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Online Machine Learning jobs in Decatur, GA look for? The top searched job categories for Online 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 Software Engineer (AI)

Machine Learning Software Engineer (AI)

Fiserv, Inc.

Alpharetta, GA • On-site

Full-time

Posted 7 days ago


Fiserv rating

7.6

Company rating: 7.6 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

106th of 138 rated financial services


Job description

Calling all innovators - find your future at Fiserv.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Machine Learning Software Engineer (AI)
What does a successful Machine Learning Software Engineer (AI) do at Fiserv?
At Fiserv, you build production machine learning software that powers real-time decisioning at scale across payments and financial services. You translate model concepts into reliable services and data pipelines with strong performance, observability, and operational discipline. You partner with product, data science, and platform engineering to deliver measurable outcomes and continuously improve models in production.
What you will do
  • Architect, design, and implement scalable ML models and real-time inference services for high-throughput, low-latency decisioning.
  • Build and optimize data ingestion and feature pipelines using Kafka, Airflow, and Spark to enable consistent, high-quality feature extraction.
  • Collaborate with data scientists and product engineers to translate complex business requirements into technical specifications and deployable ML solutions.
  • Conduct structured experimentation using frameworks such as TensorFlow and PyTorch, selecting approaches that balance accuracy, explainability, and production constraints.
  • Deploy and operate ML applications using Docker and Kubernetes in cloud environments, including release automation, monitoring, and ongoing optimization.

What you must have
  • 7+ years of experience in machine learning and data science.
  • 7+ years of experience deploying AI solutions in cloud environments.
  • 5+ years of experience driving large-scale projects in a matrixed environment (project management and/or consulting).
  • Bachelor's degree in computer science, data science, or a related field.

What would be nice to have
  • 6+ years of experience in the financial services industry.
  • 5+ years of proficiency in Python, Java, or Scala, including hands-on use of ML libraries (TensorFlow, Keras, Scikit-learn).
  • 4+ years of experience with SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra).

This role is not eligible to be performed in Colorado, California, District of Columbia, Hawaii, Illinois, Massachusetts, Maryland, Minnesota, New Jersey, New York, Nevada, Rhode Island, Vermont or Washington.
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
Please note that salary ranges provided for this role on external job boards are salary estimates made by outside parties and may not be accurate.
Thank you for considering employment with Fiserv. Please:
  • Apply using your legal name
  • Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Equal Opportunity:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

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