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Machine Learning Operations Jobs in Atlanta, GA (NOW HIRING)

... operational efficiency, and expanding diagnostic possibilities. About the Role We are seeking an ... The ideal candidate will have deep expertise in Machine Learning and building generalizable ...

A Brief Overview As a Staff MLOps Engineer, you will play a pivotal role in designing, implementing, and optimizing machine learning operations within our infrastructure. You will collaborate closely ...

A Brief Overview As a Staff MLOps Engineer, you will play a pivotal role in designing, implementing, and optimizing machine learning operations within our infrastructure. You will collaborate closely ...

Machine Learning Engineer

Atlanta, GA · On-site

$85.92 - $130/hr

Candidate's focus will be on driving new feature delivery, maintaining operational excellence, and collaborating on enhancements to client's shared ML platform. * Candidates will work closely with ...

Oracle Cloud certifications, including Oracle Cloud Infrastructure Architect or Oracle Machine Learning Specialist Experience with machine learning operations, continuous integration/continuous ...

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

... machine learning operations processes. Compensation The wage range for this role takes into account a wide range of factors considered in making compensation decisions, including but not limited to ...

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

... machine learning operations processes. Compensation The wage range for this role takes into account a wide range of factors considered in making compensation decisions, including but not limited to ...

Generative AI Data Engineer III

Atlanta, GA

$110K - $132K/yr

... or machine learning operations processes The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to ...

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Machine Learning Operations information

See Atlanta, GA salary details

$21

$38

$58

How much do machine learning operations jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for machine learning operations in Atlanta, GA is $38.36, according to ZipRecruiter salary data. Most workers in this role earn between $32.12 and $40.67 per hour, depending on experience, location, and employer.

Is ML a high paying job?

Machine Learning Operations (MLOps) roles are generally well-paid due to the specialized skills required, such as expertise in cloud platforms, programming, and data management. Salaries tend to be higher than average tech roles and can increase with experience, certifications, and knowledge of tools like TensorFlow or Kubernetes.

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

AspectMachine Learning OperationsData Scientist
Primary FocusDeploying, maintaining, and scaling ML models in productionAnalyzing data to develop insights and build models
Required SkillsML deployment, cloud platforms, automation, scriptingStatistical analysis, data visualization, programming (Python/R)
Work EnvironmentOperations teams, cloud infrastructure, production systemsResearch environments, data analysis teams, R&D
Common CertificationsCloud certifications, MLOps tools certificationsData science certifications, statistical courses

Machine Learning Operations and Data Scientists often collaborate, but MLOps focuses on deploying and maintaining models in production, while Data Scientists focus on analyzing data and developing models. Both roles require technical skills, but their day-to-day tasks and environments differ.

What engineer makes $500,000 a year?

Senior machine learning operations engineers with extensive experience, advanced skills in automation, cloud platforms, and deployment pipelines can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such roles often require expertise in tools like Kubernetes, Docker, and cloud services, along with strong problem-solving and leadership abilities.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in machine learning, deep learning, and data science. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to the total compensation. Such roles are rare and highly competitive, often found in large tech companies or innovative startups.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation tools can handle certain tasks, MLEs are essential for creating, tuning, and overseeing complex models. AI may automate some routine aspects, but MLEs' expertise in data engineering, model optimization, and deployment remains critical for effective AI solutions.

Machine Learning Software Engineer (AI)

Monitise

Alpharetta, GA

Full-time

Re-posted 27 days ago


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, Virginia, Maine 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 contactAskHR.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.

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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.