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Machine Learning Testing Jobs in Georgia (NOW HIRING)

Foundational understanding of artificial intelligence, machine learning, and data science principles * Ability to assist in the development, testing, and deployment of AI applications and supporting ...

Foundational understanding of artificial intelligence, machine learning, and data science principles * Ability to assist in the development, testing, and deployment of AI applications and supporting ...

Lead the development and operationalization of machine learning pipelines, including data ... testing, deployment, monitoring, and governance. * Establish engineering standards and reusable ...

... and machine learning solutions, including: Data ingestion and preparation Prompt engineering Pipeline orchestration and deployment Quality assurance testing and solution validation Front-end ...

AI Engineer

Atlanta, GA · On-site

$150 - $200/hr

... and machine learning solutions, including: Data ingestion and preparation Prompt engineering Pipeline orchestration and deployment Quality assurance testing and solution validation Front-end ...

... and machine learning solutions, including: Data ingestion and preparation Prompt engineering Pipeline orchestration and deployment Quality assurance testing and solution validation Front-end ...

AI Engineer

Atlanta, GA · On-site

$49.88 - $61.97/hr

... and machine learning solutions, including: Data ingestion and preparation Prompt engineering Pipeline orchestration and deployment Quality assurance testing and solution validation Front-end ...

... and machine learning solutions, including: Data ingestion and preparation Prompt engineering Pipeline orchestration and deployment Quality assurance testing and solution validation Front-end ...

Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing * Understanding of orders of ...

Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing * Understanding of orders of ...

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Design and execute experiments, hypothesis testing frameworks, and statistical analyses to evaluate ...

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Design and execute experiments, hypothesis testing frameworks, and statistical analyses to evaluate ...

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Design and execute experiments, hypothesis testing frameworks, and statistical analyses to evaluate ...

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Design and execute experiments, hypothesis testing frameworks, and statistical analyses to evaluate ...

Showing results 41-60

Machine Learning Testing information

See Georgia salary details

$11

$19

$26

How much do machine learning testing jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for machine learning testing in Georgia is $19.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $21.54 per hour, depending on experience, location, and employer.

What is a machine learning testing?

A Machine Learning Testing job involves evaluating and validating machine learning models to ensure they function correctly, efficiently, and ethically. This includes testing for accuracy, reliability, bias, and performance under different conditions. Professionals in this role employ techniques such as unit testing, integration testing, data validation, and model performance monitoring. They also work closely with data scientists and engineers to debug issues and improve model robustness. The goal is to ensure that machine learning systems perform as expected and meet business or regulatory requirements.

What are the typical challenges faced by professionals in machine learning testing roles?

Professionals in Machine Learning Testing often encounter challenges such as dealing with non-deterministic model outputs, insufficient or imbalanced datasets, and unclear or evolving testing criteria. They may need to work closely with data scientists and engineers to develop robust test cases and validation methods tailored for dynamic machine learning systems. Staying updated on advancements in testing methodologies and tools is also important, as the field evolves rapidly. Successfully overcoming these challenges leads to higher quality models and more reliable AI solutions for end users.

What are the key skills and qualifications needed to thrive in machine learning testing, and why are they important?

To excel in Machine Learning Testing, you need a solid understanding of machine learning concepts, data analysis, and programming skills in languages like Python, as well as a background in quality assurance or software testing. Familiarity with frameworks such as TensorFlow, PyTorch, automated testing tools, and relevant certifications like ISTQB are highly beneficial. Strong attention to detail, analytical thinking, and effective communication skills help testers identify issues and collaborate with data scientists and developers. These competencies are essential to ensure the reliability, fairness, and accuracy of machine learning models deployed in production environments.

How do I become a machine learning testing?

To become a machine learning testing professional, you typically need a strong background in computer science, programming skills in languages like Python or Java, and knowledge of machine learning frameworks such as TensorFlow or PyTorch. Gaining experience with data analysis, model evaluation, and testing methodologies, along with relevant certifications or training, can improve your qualifications for this role.

What are the most commonly searched types of Machine Learning Testing jobs in Georgia?

The most popular types of Machine Learning Testing jobs in Georgia are:

What cities in Georgia are hiring for Machine Learning Testing jobs?

Cities in Georgia with the most Machine Learning Testing job openings:

Infographic showing various Machine Learning Testing job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 21% Part Time, 6% Contract, and 3% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,081 per year, or $19.3 per hour.

Associate AI Engineer

Emory Healthcare

Atlanta, GA • On-site

Full-time

Re-posted 10 days ago


Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

Based on 219 frontline employees who took The Breakroom Quiz

164th of 898 rated healthcare providers


Job description

Overview
Be inspired. Be rewarded. Belong. At Emory Healthcare.
At Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorship and leadership programs for all types of jobs, and a supportive environment that enables you to reach new heights in your career and be what you want to be. We provide:
  • Comprehensive health benefits that start day 1
  • Student Loan Repayment Assistance & Reimbursement Programs
  • Family-focused benefits
  • Wellness incentives
  • Ongoing mentorship, development, and leadership programs
  • And more

Atlanta based position requiring one onsite meeting bi-weekly
Description
The Associate AI Engineer supports the design, development, testing, and deployment of enterprise artificial intelligence (AI) solutions under the guidance of AI architects and senior engineers. This role collaborates with cross-functional teams to develop secure, scalable, and compliant AI applications that support clinical, operational, and administrative initiatives. The Associate AI Engineer contributes to the implementation of AI technologies while developing technical expertise and supporting the organization's responsible AI objectives. This is an Atlanta based position that will require one day every other week onsite for AI team meetings. We are looking for builders in this role, willing to dive into a variety of workstreams, and passionate about AI healthcare.
RESPONSIBILITIES:
AI Solution Development:
  • Assist product managers, AI architects, and senior engineers in defining AI solution requirements, estimating user stories, and developing technical specifications
  • Participate in the hands-on development of AI solutions under the guidance of senior technical staff, including: Data ingestion and preparation - Prompt engineering - Pipeline orchestration and deployment - Quality assurance testing and validation - Front-end development and integration
  • Support the implementation, testing, troubleshooting, and optimization of AI applications and supporting technologies
  • Assist with documenting technical solutions, development processes, and implementation activities

Technical Collaboration and Support:
  • Collaborate with AI architects, engineers, product managers, and cross-functional stakeholders throughout the software development lifecycle
  • Support the development of secure, scalable, and compliant AI solutions aligned with enterprise architecture and responsible AI principles
  • Participate in technical discussions, code reviews, and knowledge-sharing activities to support continuous improvement

Continuous Learning and Innovation:
  • Develop technical knowledge of artificial intelligence, machine learning, cloud technologies, and software engineering best practices
  • Stay current with emerging AI technologies, development frameworks, and engineering methodologies to support ongoing innovation

PREFERRED QUALIFICATIONS:
  • Education: College Coursework, co-op, or internship experience in healthcare or life sciences Coursework toward or completion of an advanced degree (e.g., Master of Science, MBA, or related field)
  • Experience:
    • 2+ years of relevant software engineering, data engineering, or AI engineering experience
    • 1+ years of experience developing machine learning/artificial intelligence solutions within healthcare or life sciences
    • Exposure, education, or experience in Human-Computer Interaction (HCI)
    • Experience working in agile, cloud-based product development environments
    • Certification Microsoft Azure certifications (e.g., Azure Fundamentals, Azure AI Fundamentals) or AWS certifications (e.g., Certified Cloud Practitioner, Developer - Associate) or Epic Systems certifications (e.g., Cogito, Clarity, Caboodle, Cognitive Computing) or SAFe Agile or other related certifications

MINIMUM QUALIFICATIONS:
  • Education: Bachelor's degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, or a related field
  • Experience: 0-2 years of experience in software engineering, data engineering, machine learning/artificial intelligence (ML/AI) engineering, or a related field
  • Knowledge, Skills, and Abilities (Required):
    • Knowledge of Python and SQL programming languages
    • Foundational understanding of artificial intelligence, machine learning, and data science principles
    • Ability to assist in the development, testing, and deployment of AI applications and supporting technologies
    • Knowledge of software development lifecycle concepts and engineering best practices
    • Strong analytical and problem-solving skills
    • Ability to communicate technical concepts effectively with both technical and non-technical stakeholders
    • Strong data visualization and reporting skills to communicate technical and operational insights
    • Ability to work collaboratively within cross-functional technical teams
    • Demonstrated commitment to continuous learning in artificial intelligence, machine learning, cloud technologies, and DevOps/MLOps practices

Additional Details
Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.
Emory Healthcare is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. Please contact Emory Healthcare's Human Resources at careers@emoryhealthcare.org. Please note that one week's advance notice is preferred.

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