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Apprentice Machine Learning Testing Jobs in Arlington, TX

... machine learning models in production environments. Desired candidate will work closely with ... Integrate with existing model serving frameworks to support testing, deployment, and rollback ...

... learning how to identify and resolve electrical issues effectively. * Assist with Testing and ... Level Apprenticeship Hours Electrical Knowledge Level Apprentice I 0 - 2,000 hours Basic ...

Sr. Engineer, AI & ML

Dallas, TX · On-site

$103K - $142K/yr

This role will closely partner with Data Scientists to design and productionalize machine learning models, including testing and monitoring of the applications and front-end experiences. The ideal ...

Are you interested in learning a skilled trade and starting a successful, well-paid career in the ... Ability to pass a background check and drug testing * Ability to lift up to 50 lbs and work from ...

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Apprentice Machine Learning Testing information

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

As of Jun 14, 2026, the average hourly pay for apprentice machine learning testing in Arlington, TX is $17.42, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $19.04 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 Arlington, TX? For Apprentice Machine Learning Testing jobs in Arlington, TX, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Arlington, TX look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Arlington, TX are:
What cities near Arlington, TX are hiring for Apprentice Machine Learning Testing jobs? Cities near Arlington, TX with the most Apprentice Machine Learning Testing job openings:
Big Data/ Machine Learning Engineer

Big Data/ Machine Learning Engineer

Avani Technology Solutions, Inc.

Plano, TX • On-site

$52 - $69/hr

Full-time

Posted 23 days ago


Job description

Big Data/ Machine Learning Engineer
Plano, TX
2 Months
No C2C, any visa is okay.
Basic Qualifications
Bachelor's Degree
  • At least 8 years of software development experience
  • At least 5 years of experience managing software development projects through complete release cycles and working with cross-functional business and technology teams
  • At least 5 years experience with Distributed Computing and Linux
  • At least 5 years experience with Programming (Python or Java)
  • At least 3 years experience in people management
  • At least 3 years experience with Cloud Computing (AWS)
  • At least 3 years experience with Databases (SQL, RDBMS) At least 2 years experience with Container environment (ECS)

Responsibilities
Work with business partners, architects, and other groups to identify technical and functional needs of systems, and determine priority of needs.
Ensure adherence to defined development life cycle, good software design practices, and Architecture strategy and intent.
Partner with business systems analysts (BSAs), project managers (PMs), and customers to understand the scope of work, priorities, and requirements for development.
Work with DevOps leaders to define and align on standard operating procedures and best practices.
Automate the provisioning of environments.
Developing and enabling continuous integration/continuous deployment (CI/CD) for system components.
Troubleshooting problems, involving the appropriate resources and driving resolution of issues with a focus on minimizing impact to our customers.
Coordinate coding, testing, implementation and documentation of solutions.
Preferred Qualifications
At least 3 years experience with API based services At least 3 years experience in Agile (Jira) At least 2 years experience with Big Data (Hadoop, EMR) AWS Certified (Associate or Professional)