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Apprentice Machine Learning Testing Jobs in Atlanta, GA

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Identify, document, and resolve data issues across ingestion, transformation, and analytics layers AI & Machine Learning QA * Implement QA testing strategies for AI and machine learning models

Utilize statistical and machine learning techniques to predict trends and future outcomes. * Statistical Analysis : Apply statistical methods to test hypotheses and analyze data. * A/B Testing

This role requires strong expertise in advanced analytics, machine learning, statistical modeling ... Conduct hypothesis testing and provide statistical validation * Measure business impact of changes ...

This position aims to develop foundational skills in machining, metalworking, and tool assembly ... learning with real-world application in a dynamic industrial environment. Minimum Qualifications:

Deploy machine learning models in production environments to support real-time decision-making. A/B Testing: Design and analyze A/B tests to measure the impact of changes and improvements. Data ...

... machine learning, and AI solutions that drive measurable business outcomes. * Design and execute experiments, hypothesis testing frameworks, and statistical analyses to evaluate business strategies ...

... machine learning, and AI solutions that drive measurable business outcomes. * Design and execute experiments, hypothesis testing frameworks, and statistical analyses to evaluate business strategies ...

Porsche Technician Apprentice

Atlanta, GA · On-site

$16.25 - $21.25/hr

While in the program, you are paid hourly so you can focus on learning. As a Technician apprentice ... Report machinery defects or malfunctions to supervisor * Attend training classes and completes ...

Technician Apprentice

Atlanta, GA · On-site

$16.75 - $21.50/hr

Report machinery defects or malfunctions to supervisor * Attend training classes and completes ... certified testing facility). Employment is on an at-will basis & subject to termination if ...

Technician Apprentice

Atlanta, GA · On-site

$16.75 - $21.50/hr

Report machinery defects or malfunctions to supervisor * Attend training classes and completes ... certified testing facility). Employment is on an at-will basis & subject to termination if ...

Technician Apprentice

Duluth, GA · On-site

$15.75 - $20.25/hr

Report machinery defects or malfunctions to supervisor * Attend training classes and completes ... certified testing facility). Employment is on an at-will basis & subject to termination if ...

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 ...

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Apprentice Machine Learning Testing information

See Atlanta, GA salary details

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How much do apprentice machine learning testing jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for apprentice machine learning testing in Atlanta, GA is $18.62, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $20.34 per hour, depending on experience, location, and employer.

What kinds of projects or tasks can I expect to work on as an Apprentice Machine Learning Testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What are the key skills and qualifications needed to thrive as an Apprentice Machine Learning Testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What does an Apprentice Machine Learning Testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are popular job titles related to Apprentice Machine Learning Testing jobs in Atlanta, GA? For Apprentice Machine Learning Testing jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Atlanta, GA look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Apprentice Machine Learning Testing jobs? Cities near Atlanta, GA with the most Apprentice Machine Learning Testing job openings:
Infographic showing various Apprentice Machine Learning Testing job openings in Atlanta, GA as of July 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 100% Physical job distribution, with an average salary of $38,724 per year, or $18.6 per hour.
Senior Associate Information Security Consultant - Machine Learning & Agentic AI Solutions Lead f...

Senior Associate Information Security Consultant - Machine Learning & Agentic AI Solutions Lead f...

Truist

Atlanta, GA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Truist rating

8.1

Company rating: 8.1 out of 10

Based on 114 frontline employees who took The Breakroom Quiz

47th of 146 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)Please review the following job description:Deliver technically advanced solutions in support of Truist's Anti-Money Laundering (AML) Technology initiatives, with a focus on Machine Learning and Generative AI use cases. Partner with application teams, product owners, and internal stakeholders to design, guide, and implement model-driven solutions. Provide subject matter expertise throughout the model lifecycle, from concept through governance, approval, and deployment.

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

  • Serve as a technical advisor across AML Technology teams for Machine Learning and Generative AI initiatives, supporting multiple use cases and applications.

  • Collaborate with application teams, vendors, and internal partners to design, develop, and deploy predictive and AI-driven models aligned with financial crime detection objectives.

  • Provide expertise in model development, integration, and deployment - including supporting teams in configuring solutions, performing analysis, and enabling scalable implementations.

  • Guide and influence best practices for Machine Learning and AI adoption within AML Technology, helping define standards, approaches, and reusable frameworks.

  • Lead and contribute to model lifecycle activities, including development, testing, validation support, implementation, and post-deployment monitoring.

  • Support development of required model documentation, including Model Definition Documents (MDD), and ensure alignment with internal standards and regulatory expectations.

  • Partner with application teams to navigate AI governance processes, including model review, validation, risk assessment, and approval workflows required for production deployment.

  • Build and support monitoring, performance evaluation, and controls for models and associated applications in production environments.

  • Ensure adherence to security, compliance, and enterprise technology standards across all implemented solutions.

  • Help solve complex technical and operational challenges related to model integration, data pipelines, and AI deployment in enterprise systems.

  • Act as a mentor and resource for teammates, providing guidance on Machine Learning techniques, financial crime use cases, and technical implementation strategies.

QUALIFICATIONS

Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.

  • Minimum of 3 years of experience in information security, systems analysis, or related technical field.

  • Foundational knowledge of data security principles, system architecture, and security controls.

  • Experience or exposure to system monitoring, data analysis, or risk identification activities.

Preferred Qualifications:

  • Strong experience with Machine Learning techniques, model development, and deployment in enterprise environments.

  • Exposure to Generative AI technologies and frameworks (e.g., LLMs, prompt engineering, model orchestration).

  • Working knowledge of financial crimes / AML domain concepts (e.g., transaction monitoring, suspicious activity detection, fraud analytics).

  • Experience supporting or contributing to model governance, validation, or regulatory processes.

  • Strong foundation in data structures, algorithms, and software engineering principles.

  • Familiarity with open-source ML frameworks and tools (e.g., Python, TensorFlow, PyTorch, Scikit-learn).

  • Experience with cloud platforms such as AWS, Azure, or GCP, including ML/AI services.

  • Experience with data platforms, SQL, and data modeling.

  • Familiarity with CI/CD pipelines and tools such as Git, Jenkins, Maven.

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019