... and testing application code, developing and validating ML models, and automating tests and ... Machine Learning,Artificial Intelligence,Python
... and testing application code, developing and validating ML models, and automating tests and ... Machine Learning,Artificial Intelligence,Python
Data Engineer 3
Atlanta, GA · On-site
$110.10K - $132.20K/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
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Data Engineer 3
Atlanta, GA · On-site
$110.10K - $132.20K/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
Software Engineer (Multiple Levels) - Machine Learning Infrastructure, Slack
$166.40K - $197.10K/yr
... testing to ensure we build products right and release them with high quality. Equally important is ... Design, build, and operate systems to train, serve, and deploy machine learning models at scale ...
Software Engineer (Multiple Levels) - Machine Learning Infrastructure, Slack
$166.40K - $197.10K/yr
... testing to ensure we build products right and release them with high quality. Equally important is ... Design, build, and operate systems to train, serve, and deploy machine learning models at scale ...
Software Engineer (Multiple Levels) - Machine Learning Infrastructure, Slack
$166.40K - $197.10K/yr
... testing to ensure we build products right and release them with high quality. Equally important is ... Design, build, and operate systems to train, serve, and deploy machine learning models at scale ...
Software Engineer (Multiple Levels) - Machine Learning Infrastructure, Slack
$166.40K - $197.10K/yr
... testing to ensure we build products right and release them with high quality. Equally important is ... Design, build, and operate systems to train, serve, and deploy machine learning models at scale ...
AI/ Machine Learning Engineer - (ATL or MSP)
Atlanta, GA · On-site
$76K - $129K/yr
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 ...
AI/ Machine Learning Engineer - (ATL or MSP)
Atlanta, GA · On-site
$76K - $129K/yr
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 ...
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
Quick apply
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
Deploy machine learning models into production environments to support real-time analytics and decision-making. 9. A/B Testing: * Design and evaluate A/B tests to assess the impact of process or ...
Quick apply
Deploy machine learning models into production environments to support real-time analytics and decision-making. 9. A/B Testing: * Design and evaluate A/B tests to assess the impact of process or ...
AI/ Machine Learning Engineer - (ATL or MSP)
$76K - $129K/yr
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 ...
AI/ Machine Learning Engineer - (ATL or MSP)
$76K - $129K/yr
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 ...
Data Scientist II
Atlanta, GA · On-site
This role requires strong expertise in advanced analytics, machine learning, statistical modeling ... Conduct hypothesis testing and provide statistical validation * Measure business impact of changes ...
Quick apply
Data Scientist II
Atlanta, GA · On-site
This role requires strong expertise in advanced analytics, machine learning, statistical modeling ... Conduct hypothesis testing and provide statistical validation * Measure business impact of changes ...
Staff MLOps Engineer
Atlanta, GA · On-site
... machine learning model deployment, including orchestration, version control, and monitoring systems. • Design and implement automation pipelines for model training, testing, validation, and ...
Staff MLOps Engineer
Atlanta, GA · On-site
... machine learning model deployment, including orchestration, version control, and monitoring systems. • Design and implement automation pipelines for model training, testing, validation, and ...
Document software design, implementation, and testing procedures * Stay updated on emerging technologies in embedded systems and machine learning Qualifications * Bachelor's or Master's degree in ...
Document software design, implementation, and testing procedures * Stay updated on emerging technologies in embedded systems and machine learning Qualifications * Bachelor's or Master's degree in ...
Data Scientist
Atlanta, GA · On-site
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 ...
Data Scientist
Atlanta, GA · On-site
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 ...
Data Scientist
Atlanta, GA · On-site
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 ...
Data Scientist
Atlanta, GA · On-site
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 ...
... applied machine learning solutions. * Experience in applying software engineering best practices to data science codebases, including testing, code quality checks, and version control workflows.
... applied machine learning solutions. * Experience in applying software engineering best practices to data science codebases, including testing, code quality checks, and version control workflows.
AI Data Engineer Manager
Atlanta, GA · On-site
... machine learning models and large language models. • Conduct research to provide technical ... testing, and deployment methodology based on business and security requirements. • Work closely ...
AI Data Engineer Manager
Atlanta, GA · On-site
... machine learning models and large language models. • Conduct research to provide technical ... testing, and deployment methodology based on business and security requirements. • Work closely ...
Data Scientist Sr
$108.80K - $149.60K/yr
... machine learning models for classification, regression, or clustering tasks. -Write queries and perform analysis on large datasets using Hive and SQL -Contribute to documentation, testing, and model ...
Data Scientist Sr
$108.80K - $149.60K/yr
... machine learning models for classification, regression, or clustering tasks. -Write queries and perform analysis on large datasets using Hive and SQL -Contribute to documentation, testing, and model ...
AI Data Engineer - Manager
Atlanta, GA · On-site
... machine learning models and large language models. • Conduct research to provide technical ... testing, and deployment methodology based on business and security requirements. • Work closely ...
AI Data Engineer - Manager
Atlanta, GA · On-site
... machine learning models and large language models. • Conduct research to provide technical ... testing, and deployment methodology based on business and security requirements. • Work closely ...
... applied machine learning solutions. * Experience in applying software engineering best practices to data science codebases, including testing, code quality checks, and version control workflows.
... applied machine learning solutions. * Experience in applying software engineering best practices to data science codebases, including testing, code quality checks, and version control workflows.
Staff MLOps Engineer
Dunwoody, GA · On-site
... machine learning model deployment, including orchestration, version control, and monitoring systems. * Design and implement automation pipelines for model training, testing, validation, and ...
Staff MLOps Engineer
Dunwoody, GA · On-site
... machine learning model deployment, including orchestration, version control, and monitoring systems. * Design and implement automation pipelines for model training, testing, validation, and ...
Senior Data Scientist II
Alpharetta, GA · On-site
... applied machine learning solutions. * Experience in applying software engineering best practices to data science codebases, including testing, code quality checks, and version control workflows.
Senior Data Scientist II
Alpharetta, GA · On-site
... applied machine learning solutions. * Experience in applying software engineering best practices to data science codebases, including testing, code quality checks, and version control workflows.
Machine Learning Testing information
See Marietta, GA salary details
$13.22 - $14.69
3% of jobs
$14.69 - $16.16
7% of jobs
$16.16 - $17.63
6% of jobs
$18.73 is the 25th percentile. Wages below this are outliers.
$17.63 - $19.10
11% of jobs
$19.10 - $20.57
13% of jobs
The median wage is $21.35 / hr.
$20.57 - $22.04
18% of jobs
$22.04 - $23.51
16% of jobs
$23.60 is the 75th percentile. Wages above this are outliers.
$23.51 - $24.98
9% of jobs
$24.98 - $26.45
6% of jobs
$26.45 - $27.92
7% of jobs
$27.92 - $29.39
3% of jobs
$13
$21
$29
How much do machine learning testing jobs pay per hour?
As of May 30, 2026, the average hourly pay for machine learning testing in Marietta, GA is $21.63, according to ZipRecruiter salary data. Most workers in this role earn between $18.70 and $24.13 per hour, depending on experience, location, and employer.
What is a Machine Learning Testing job?
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 key skills and qualifications needed to thrive in the Machine Learning Testing position, 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.
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.
More about Machine Learning Testing jobs
What job categories do people searching Machine Learning Testing jobs in Marietta, GA look for? The top searched job categories for Machine Learning Testing jobs in Marietta, GA are:
Full-time
Medical, Dental, Vision, PTO
Posted 29 days ago
Job description
Overview:
R2 Technologies Corporation (R2) is a technology services provider headquartered in Alpharetta, GA, with expertise in a range of cutting-edge technologies. R2 specializes in Java, Dot Net, Big Data, Cloud Computing, artificial intelligence (AI), machine learning (ML), software development, project management, SAP, and enterprise resource planning (ERP) systems. Additionally, R2 offers highly skilled resources and productivity platforms that enable clients to rapidly deliver business value to their stakeholders.
R2's strength lies in providing platform-based solutions, architecting, and designing enterprise solutions, leveraging cloud technologies such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to deliver scalable and cost-effective solutions.
R2's expertise in AI and ML enables clients to leverage the power of data to make data-driven decisions and improve their overall performance. R2 also provides solutions for internet of things (IoT) and blockchain technologies, which can help clients improve their supply chain management and streamline their operations.
Since its inception, R2 has rapidly grown to become one of the most respected and trusted technology companies in the United States, providing product development and staffing services to a diverse range of clients, including small and midsize businesses, as well as Fortune 1000 companies.
Job Title: Machine Learning Engineer (MLE)
Location: Alpharetta, GA.
Type: Full-time
Overview:
We are seeking a skilled and experienced Developer to join our team. The ideal candidate will have expertise in programming and experience in building scalable and reliable applications.
Responsibilities:
• The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
• Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
• Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
• Retrain, maintain, and monitor models in production.
• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
• Construct optimized data pipelines to feed ML models.
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
• Use programming languages like Python, Scala, or Java.
• API development
Required Skills:
• At least 3 years of experience programming with Python, Scala, or Java (Internship experience does not apply)
• At least 3 years of experience designing and building data-intensive solutions using distributed computing
• At least 3 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)
• At least 1 year of experience productionizing, monitoring, and maintaining models
Optional Skills:
• 3 years of experience building, scaling, and optimizing ML systems
• 3 years of experience with data gathering and preparation for ML models
• 3 years of experience developing performant, resilient, and maintainable code
• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
• 3 years of experience with distributed file systems or multi-node database paradigms
• 3 years of experience building production-ready data pipelines that feed ML models
• Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
Qualifications:
• Bachelor's degree in computer science, Engineering, or related field.
• Relevant certification.
Attributes:
We are seeking a candidate who is passionate, intelligent, and a critical thinker. The ideal candidate should be a proactive communicator, documenting their work clearly and succinctly. They should be detail-oriented, thoughtful, and respectful, with a focus on teamwork. The candidate should possess strong problem-solving skills and have the ability to work independently and within a team. They should be able to adapt to changing requirements and maintain a positive attitude in a fast-paced environment.
What's In It for You?
We offer competitive benefits, pay, and bonus potential, including group health insurance, vision and dental insurance, and paid vacation.
Skills:
Machine Learning,Artificial Intelligence,Python
R2 Technologies Corporation (R2) is a technology services provider headquartered in Alpharetta, GA, with expertise in a range of cutting-edge technologies. R2 specializes in Java, Dot Net, Big Data, Cloud Computing, artificial intelligence (AI), machine learning (ML), software development, project management, SAP, and enterprise resource planning (ERP) systems. Additionally, R2 offers highly skilled resources and productivity platforms that enable clients to rapidly deliver business value to their stakeholders.
R2's strength lies in providing platform-based solutions, architecting, and designing enterprise solutions, leveraging cloud technologies such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to deliver scalable and cost-effective solutions.
R2's expertise in AI and ML enables clients to leverage the power of data to make data-driven decisions and improve their overall performance. R2 also provides solutions for internet of things (IoT) and blockchain technologies, which can help clients improve their supply chain management and streamline their operations.
Since its inception, R2 has rapidly grown to become one of the most respected and trusted technology companies in the United States, providing product development and staffing services to a diverse range of clients, including small and midsize businesses, as well as Fortune 1000 companies.
Job Title: Machine Learning Engineer (MLE)
Location: Alpharetta, GA.
Type: Full-time
Overview:
We are seeking a skilled and experienced Developer to join our team. The ideal candidate will have expertise in programming and experience in building scalable and reliable applications.
Responsibilities:
• The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
• Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
• Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
• Retrain, maintain, and monitor models in production.
• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
• Construct optimized data pipelines to feed ML models.
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
• Use programming languages like Python, Scala, or Java.
• API development
Required Skills:
• At least 3 years of experience programming with Python, Scala, or Java (Internship experience does not apply)
• At least 3 years of experience designing and building data-intensive solutions using distributed computing
• At least 3 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)
• At least 1 year of experience productionizing, monitoring, and maintaining models
Optional Skills:
• 3 years of experience building, scaling, and optimizing ML systems
• 3 years of experience with data gathering and preparation for ML models
• 3 years of experience developing performant, resilient, and maintainable code
• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
• 3 years of experience with distributed file systems or multi-node database paradigms
• 3 years of experience building production-ready data pipelines that feed ML models
• Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
Qualifications:
• Bachelor's degree in computer science, Engineering, or related field.
• Relevant certification.
Attributes:
We are seeking a candidate who is passionate, intelligent, and a critical thinker. The ideal candidate should be a proactive communicator, documenting their work clearly and succinctly. They should be detail-oriented, thoughtful, and respectful, with a focus on teamwork. The candidate should possess strong problem-solving skills and have the ability to work independently and within a team. They should be able to adapt to changing requirements and maintain a positive attitude in a fast-paced environment.
What's In It for You?
We offer competitive benefits, pay, and bonus potential, including group health insurance, vision and dental insurance, and paid vacation.
Skills:
Machine Learning,Artificial Intelligence,Python