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Apprentice Machine Learning Testing Jobs in Kyle, TX

Bumble Inc.

Senior Machine Learning Engineer

Austin, TX · On-site

$220K - $250K/yr

As a Senior Machine Learning Engineer, you'll own impactful problems end-to-end-from data ... Contribute to experimentation frameworks, including A/B testing and offline evaluation, to iterate ...

Apple

Senior Machine Learning Engineer

Austin, TX

$181K - $318K/yr

... and testing workflows.","responsibilities":"Collaborate with other MLEs to build scalable ... Experience building data processing pipelines and large scale machine learning systems with ...

Apple

Senior Machine Learning Engineer

Austin, TX

$181K - $318K/yr

... and testing workflows.","responsibilities":"Collaborate with other MLEs to build scalable ... Experience building data processing pipelines and large scale machine learning systems with ...

Apple

Senior Machine Learning Engineer

Austin, TX

$181K - $318K/yr

... and testing workflows.","responsibilities":"Collaborate with other MLEs to build scalable ... Experience building data processing pipelines and large scale machine learning systems with ...

Bumble Inc.

Staff Machine Learning Engineer

Austin, TX · On-site

... robust A/B testing and evaluation methodologies • Collaborate cross-functionally at depth ... machine learning, with significant experience building and scaling production-grade systems • ...

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All JobsApprentice Machine Learning Testing JobsApprentice Machine Learning Testing Jobs in Kyle, TX

Apprentice Machine Learning Testing information

See Kyle, TX salary details

$10

$18

$26

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

As of Jun 20, 2026, the average hourly pay for apprentice machine learning testing in Kyle, TX is $18.58, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.29 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 Kyle, TX? For Apprentice Machine Learning Testing jobs in Kyle, TX, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Kyle, TX look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Kyle, TX are:
What cities near Kyle, TX are hiring for Apprentice Machine Learning Testing jobs? Cities near Kyle, TX with the most Apprentice Machine Learning Testing job openings:
Apprentice Machine Learning Testing jobs near you

Onsite :: SDET - Software Engineer :: Austin, Texas :: Contract

Kanak Elite Services Inc

Austin, TX • On-site

$49.50 - $64/hr

Contractor

Posted 3 days ago

Job description

Hello There,

My name is Amit Kumar, and I serve as the Sr. Technical Recruiter at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of “SDET - Software Engineer” with our esteemed client. If you are interested then please share your updated resume at Amitkumar@kanakits.com .

Position: SDET - Software Engineer

Location: Onsite, Austin, Texas

Duration: Contract

Note: Looking for Ex Apple


Job Overview:
We are seeking an experienced SDET (Software Development Engineer in Test) with strong full-stack development experience and a passion for building high-quality, automated testing solutions. The ideal candidate will possess deep expertise in Java, Python, and Splunk, with a solid foundation in machine learning testing strategies. You’ll work closely with developers, QA engineers, and DevOps teams to create scalable, reliable, and intelligent automation frameworks for testing complex systems.
Responsibilities:

  • Design, develop, and maintain scalable automated test frameworks using Python and Java.
  • Collaborate with full-stack engineering teams to define test strategies and integrate them into CI/CD pipelines.
  • Develop system-level validation strategies for both frontend and backend components.
  • Utilize Splunk for monitoring, alert validation, log analysis, and test observability.
  • Collaborate with ML engineers to validate machine learning models, data quality, prediction accuracy, and integration into production environments.
  • Perform root cause analysis for failed test cases and system issues; drive resolutions in collaboration with cross-functional teams.
  • Advocate for best practices in code quality, testability, maintainability, and performance testing.
  • Participate in code reviews, backlog grooming, and technical planning sessions.

Qualifications:

  • 5–10 years of experience with Splunk (Required).
  • 5–10 years of full-stack development experience with Java (Required).
  • 5–10 years of experience with Python (Required).
  • 2–5 years of experience in machine learning (Required).

Preferred Qualifications:

  • Experience in developing test strategies for ML-driven applications.
  • Familiarity with data pipelines, feature engineering, and model lifecycle testing.
  • Solid understanding of cloud-based architectures and microservices.
  • Hands-on experience with test reporting dashboards, metrics, and Splunk-based alerts.
  • Strong communication skills and the ability to work in fast-paced, agile environments.

Thanks & Regards

Amit Kumar

Sr. Technical Recruiter

Email : Amitkumar@kanakits.com

LinkedIn : https://www.linkedin.com/in/amit-k-05332911a/

Kanak IT is an equal opportunity employer. We consider all applicants for employment without regard to citizenship, immigration status, race, gender, disability, or any other protected category.

We respect your Online Privacy. This is not an unsolicited mail, If you are not interested in receiving our e-mails then please reply with a "REMOVE" in the subject to support@kanakelite.com and mention all the e-mail addresses to be removed with any e-mail addresses, which might be diverting the e-mail to you.