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Machine Learning Qa Engineer Jobs (NOW HIRING)

Validate machine learning data pipelines and model workflows, including experiment tracking and ... Mentor QA engineers and champion automation, continuous improvement, and quality engineering best ...

$80 - $100/hr

## Quality Assurance Engineer\Sr. Quality Assurance EngineerApplylocations: Charlottesville, VAtime ... We're committed to making a positive impact on the world, providing you with diverse learning and ...

Quality Assurance Lead

Pittsburgh, PA · On-site

$62K - $139K/yr

Validate machine learning data pipelines and model workflows, including experiment tracking and ... Mentor QA engineers and champion automation, continuous improvement, and quality engineering best ...

Quality Assurance Lead

Pittsburgh, PA · On-site

$62K - $139K/yr

Validate machine learning data pipelines and model workflows, including experiment tracking and ... Mentor QA engineers and champion automation, continuous improvement, and quality engineering best ...

NAVA Software solutions is looking for a QA Engineer Details: QA Engineer Location: Houston, TX (2-3 days Onsite) Duration: 6-12 months Client is looking for a QA having strong exp in SQL / for BI ...

Quality Assurance Engineer, Nuclear Location: Chattanooga, TN Type: Direct Hire Work Model: Onsite ... Review customer purchase orders, work travelers, procedures, repair/replacement plans, machining ...

But wait - we want QA engineers who have more than one dimension to bring to our team. Fly ... Our employees don't want to be a cog in a machine; they want to drive the business forward. They ...

WI · On-site

$100 - $125/hr

We foster an environment for constant learning.We engineer change for a more stable and sustainable world.YOUR IMPACT STARTS HEREWe're looking for a Quality Assurance Engineer to join our Global ...

About the Role We're looking for a midlevel or Senior QA Engineer who's passionate about quality ... Have tested AI or machine learning-enabled applications * Have worked with healthcare software or ...

QA Engineer - Job Profile Location: Fort Lauderdale, FL We are seeking a QA Engineer to join our team and ensure the quality, reliability, and performance of our SaaS platform. This role requires ...

Quality Assurance Engineer WFI International, a leading manufacturer and supplier of integrally reinforced branch connection fittings to the power, oil and gas, chemical, and other industries, is ...

About the Role We're looking for a midlevel or Senior QA Engineer who's passionate about quality ... machine learning-enabled applications - Have worked with healthcare software or in regulated ...

Be Seen First

The QA Engineer has the authority and responsibility to accept or reject work items before they count toward sprint acceptance. Our product portfolio includes legacy applications with limited ...

Showing results 41-60

Machine Learning Qa Engineer information

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$18

$48

$78

How much do machine learning qa engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for machine learning qa engineer in the United States is $48.54, according to ZipRecruiter salary data. Most workers in this role earn between $38.22 and $55.53 per hour, depending on experience, location, and employer.

What is a machine learning QA engineer?

Machine Learning QA Engineers are professionals who specialize in testing and validating machine learning models and systems. They ensure that machine learning algorithms perform as expected, are reliable, and meet quality standards before deployment. Their role involves developing test cases, automating testing processes, analyzing results, and collaborating with data scientists and software engineers to improve model accuracy and robustness. They also help identify biases, data inconsistencies, and potential issues in the machine learning pipeline.

What are some common challenges faced by machine learning QA engineers when testing AI models, and how are they typically addressed?

Machine Learning QA Engineers often encounter challenges such as ensuring model accuracy across diverse datasets, reproducibility of test results, and validating the fairness and bias of AI outputs. Addressing these issues typically involves developing robust automated test frameworks, collaborating closely with data scientists to understand model behaviors, and implementing rigorous data validation and monitoring processes. Additionally, continuous learning is essential, as ML models evolve rapidly and require QA Engineers to stay updated on new testing methodologies and tools.

What are the key skills and qualifications needed to thrive as a machine learning QA engineer, and why are they important?

To thrive as a Machine Learning QA Engineer, you need a strong grasp of software testing principles, machine learning concepts, and proficiency in programming languages like Python, along with a relevant degree in computer science or engineering. Familiarity with testing frameworks (such as pytest), ML platforms (like TensorFlow or PyTorch), and experience with automated testing tools are typically required. Exceptional analytical thinking, attention to detail, and effective communication skills set standout candidates apart in this role. These skills and qualities are crucial to ensure the quality, reliability, and fairness of machine learning models before they are deployed to production.

What is the difference between Machine Learning Qa Engineer vs Data Scientist?

AspectMachine Learning Qa EngineerData Scientist
Required CredentialsBachelor's in CS, QA certifications, knowledge of ML modelsBachelor's/Master's in CS, statistics, data analysis
Work EnvironmentTesting labs, development teams, QA departmentsResearch, data analysis, modeling teams
Industry UsageTech companies, AI startups, software firmsTech, finance, healthcare, research institutions
Common Search/ComparisonYesYes

While both roles involve working with machine learning, a Machine Learning Qa Engineer primarily focuses on testing and validating ML models to ensure quality and performance. In contrast, a Data Scientist analyzes data, develops models, and derives insights. The roles often collaborate but serve different stages of the ML development lifecycle.

Is a machine learning QA engineer still in demand?

Machine Learning QA engineers are in demand due to the increasing adoption of AI and machine learning systems across industries. They play a critical role in testing and validating models, often requiring skills in programming, data analysis, and familiarity with tools like Python and TensorFlow. As AI integration grows, the need for specialized QA engineers in this field is expected to remain strong.
More about Machine Learning Qa Engineer jobs

What cities are hiring for Machine Learning Qa Engineer jobs?

Cities with the most Machine Learning Qa Engineer job openings:

What are popular job titles related to Machine Learning Qa Engineer jobs?

For Machine Learning Qa Engineer jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Qa Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $100,970 per year, or $48.5 per hour.

Quality Assurance Lead

Pittsburgh, PA • On-site

Full-time

Retirement, PTO

Re-posted 25 days ago


CGI rating

7.1

Company rating: 7.1 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

150th of 226 rated it services


Job description

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Quality Assurance Lead
Category: Testing/Quality Assurance
Main location: United States, Pennsylvania, Pittsburgh
Position ID:J0726-1334
Employment Type: Full Time
Position Description:
CGI is looking for a Quality Assurance Lead.
This position is located at our client site five days a week in either Pittsburgh, PA, Dallas, TX, Cleveland, OH, or Birmingham, AL.
We are seeking an experienced Lead Quality Assurance Engineer to lead quality engineering efforts for enterprise scale data platforms and distributed applications. This role is responsible for defining QA strategy, leading test automation initiatives, and ensuring the integrity, reliability, and performance of complex data ecosystems.
The ideal candidate combines deep expertise in big data testing, automation frameworks, database validation, and DevOps practices with a passion for building scalable quality engineering solutions. This individual will partner closely with cross functional teams to deliver high quality data and application solutions in a highly regulated enterprise environment.
Your future duties and responsibilities:
. Lead the overall quality assurance strategy, test planning, execution, and reporting across large scale data and application initiatives.
. Design, develop, and maintain automated testing frameworks using Python and PySpark for enterprise data validation.
. Validate large scale data pipelines across Hadoop based technologies, ensuring data accuracy, completeness, consistency, and reliability.
. Develop comprehensive end to end test scenarios covering data ingestion, transformation, batch processing, and downstream integrations.
. Perform database validation, reconciliation, and data quality testing using Oracle PL/SQL and SQL.
. Validate machine learning data pipelines and model workflows, including experiment tracking and data integrity validation.
. Monitor and validate enterprise workflow scheduling processes utilizing enterprise job schedulers.
. Integrate automated testing into CI/CD pipelines using Jenkins, Git, and modern DevOps practices.
. Develop Unix/Linux scripts to support automation, batch validation, and operational testing.
. Lead defect management activities including root cause analysis, prioritization, and resolution tracking.
. Ensure testing activities align with enterprise governance, audit, compliance, and data security standards.
. Mentor QA engineers and champion automation, continuous improvement, and quality engineering best practices.
Required qualifications to be successful in this role:
. Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline (or equivalent experience).
. 8+ years of Quality Assurance or Test Engineering experience, including experience leading QA initiatives.
. Strong programming experience with Python and PySpark.
. Hands on experience testing enterprise Big Data platforms including Hadoop, Hive, Impala, and Sqoop.
. Strong experience validating relational databases using Oracle PL/SQL and SQL.
. Experience working with enterprise workload schedulers such as Control M or similar scheduling platforms.
. Strong Unix/Linux scripting skills.
. Experience implementing QA automation within CI/CD pipelines using Jenkins and Git.
. Understanding of DevOps methodologies and automated software delivery pipelines.
. Experience working with container technologies such as Docker and OpenShift.
. Strong analytical, troubleshooting, and problem solving skills, particularly involving complex data environments.
. Excellent communication and collaboration skills with technical and business stakeholders.
Preferred Qualifications
. Experience supporting financial services, banking, or other highly regulated industries.
. Experience with Financial Crime, AML, Fraud Detection, Risk, or Compliance technology platforms.
. Experience with cloud native data platforms and services, particularly AWS (Glue, Athena, S3, SageMaker).
. Experience testing machine learning models, AI workflows, or advanced analytics platforms.
. Knowledge of data governance, metadata management, data lineage, and regulatory reporting.
. Experience leading QA transformation or enterprise automation initiatives.
Technical Environment
Candidates should have experience with many of the following technologies:
. Python
. PySpark
. Hadoop Ecosystem (HDFS, Hive, Impala, Sqoop)
. Oracle PL/SQL
. SQL
. Jenkins
. Git
. Docker
. OpenShift
. Unix/Linux
. Enterprise Workflow Scheduling Tools
. AWS Data Services (preferred)
. MLflow (preferred)
Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $62,900.00 $139,300.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
.Learning opportunities and tuition assistance
. Wellness and Well being programs
#LI-PS1
Skills:
  • Python
  • Quality assurance
  • Test strategy

What you can expect from us:
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Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because...
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team-one of the largest IT and business consulting services firms in the world.
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CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.
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All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.
Have you been referred by a CGI Partner for this position? *
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CGI Partner's email (@cgi.com)*
First Name
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I agree to allow CGI to contact the CGI Partner who referred me to obtain additional information about my application and confirm my referral.*
* This field is required.
CGI is an Equal Opportunity Employer, to include disability and protected veteran status; we are committed to compliance with U.S. laws and regulations. Click here to access an overview of our U.S. Equal Employment Opportunity and Anti-Harassment Policy.
Applicants have rights under Federal Employment Laws:
  1. EPPA
  2. FMLA
  3. Know Your Rights: Workplace Discrimination is Illegal
  4. Pay Transparency Statement Policy

CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.
We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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