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Apprentice Machine Learning Testing Jobs in Oklahoma

Expand Energy

Sr. Software Engineer

Oklahoma City, OK

$100K - $132K/yr

Participate in code reviews, testing, and deployment activities, adhering to SDLC best practices * Evaluate and recommend tools, patterns, and process improvements to enhance machine learning and ...

Expand Energy

Sr. Software Engineer

Oklahoma City, OK · On-site

$100K - $132K/yr

Participate in code reviews, testing, and deployment activities, adhering to SDLC best practices * Evaluate and recommend tools, patterns, and process improvements to enhance machine learning and ...

City of Claremore

Apprentice Lineman III

Claremore, OK · On-site

$27.57/hr

This is a safety sensitive position and is subject to random drug testing. Safety sensitive ... electrical equipment, machinery and tools. * Uses climber's belt and tools and climb poles.

TSMG

AI/ML Data Contributor

Oklahoma City, OK · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Oklahoma City, OK · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Oklahoma City, OK · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Oklahoma City, OK · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Oklahoma City, OK

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Oklahoma City, OK · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

CCT

Data Scientist

Tulsa, OK

Strong foundation in statistics and experimentation: hypothesis testing, probability distributions, regression analysis, metric design, etc. * Experience with machine learning frameworks (scikit ...

CCT

Data Scientist

Tulsa, OK · On-site

Strong foundation in statistics and experimentation: hypothesis testing, probability distributions, regression analysis, metric design, etc. * Experience with machine learning frameworks (scikit ...

Deloitte

Finance Analytics & AI Senior Consultant

Tulsa, OK · On-site

$106K/yr

Experience deploying machine learning or generative and agentic AI solutions into production ... Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder ...

Varsity Tutors

Data Science Tutor

Stillwater, OK · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Tulsa, OK · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Oklahoma City, OK · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Apprentice Machine Learning Testing information

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 Oklahoma? For Apprentice Machine Learning Testing jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Oklahoma look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Oklahoma are:
What cities in Oklahoma are hiring for Apprentice Machine Learning Testing jobs? Cities in Oklahoma with the most Apprentice Machine Learning Testing job openings:
Apprentice Machine Learning Testing jobs near you

Sr. Software Engineer

Expand Energy

Oklahoma City, OK

$100K - $132K/yr

Other

Posted 3 days ago

Job description

Our core values - Stewardship, Character, Collaborate, Learn, Disrupt - are the lens through which we evaluate every business decision. As a dynamic, growing company that offers extremely competitive compensation and benefits, our employees are our most valued assets and the foundation of Expand's performance among our E&P competitors.

We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. We realize that, historically, underrepresented groups feel the need to be 100% qualified in order to apply. If you meet any combination of our requirements, we encourage you to apply. We strive to hire people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger.

Job Summary

This senior level position is responsible for building and operating the platforms, pipelines, and standards that support the development, deployment, and lifecycle management of machine learning models and data products. This role is expected to participate and lead communication with business customers as well as cross-functional IT staff, to support business teams delivering machine learning models and advanced analytics solutions.

Job Duties & Responsibilities
  • Collaborate with cross-functional teams including Business Stakeholders, Business Analysts, Data Engineers, and other Software Engineers to identify and define requirements
  • Design, develop, and support machine learning operations (MLOps) platforms and tools in support of data science activities
  • Implement and maintain automated pipelines supporting the development, deployment, and operation of machine learning models and data products, ensuring scalability, reliability, and efficiency
  • Develop and maintain documentation for platforms, pipelines, and operational processes
  • Participate in code reviews, testing, and deployment activities, adhering to SDLC best practices
  • Evaluate and recommend tools, patterns, and process improvements to enhance machine learning and advanced analytics delivery
  • Collaborate with peers to share knowledge, support team capability development, and promote consistent engineering and MLOps practices
Job Specific Skills
  • High proficiency in Python as a primary engineering language, with experience building, testing, and operating production systems supporting machine learning and analytics workloads
  • High proficiency with SQL, and familiarity with Spark or other distributed data processing frameworks
  • Experience establishing and operating a sustainable MLOps environment, including model deployment, pipeline automation, monitoring, and lifecycle management
  • Strong software engineering fundamentals, including object-oriented design, unit testing, exception handling, and use of common design patterns
  • Expertise in data modeling, data warehousing, and ETL/ELT processes supporting analytics and machine learning cases
  • Hands-on experience with cloud-based data platforms and architectures, including Snowflake and Databricks
  • Strong knowledge of CI/CD, DevOps, and release management practices used to deploy and operate production data and machine learning solutions
  • Strong knowledge of SDLC processes, including Agile methodologies
  • Excellent problem-solving skills and ability to troubleshoot complex issues in live production environments
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment
Education

Minimum: High school diploma or GED

Preferred: Bachelor's degree - from accredited university - IT, MIS, Information Systems, Computer Science or related field

Experience

Minimum: 5 - 8 years related work experience

Expand Energy takes necessary action to ensure that all applicants are treated without regard to their race, color, religion, sex, sexual orientation, age, gender identity, national origin, genetic information, disability, pregnancy, military or veteran status or any other protected characteristic as established by law.

Expand Energy Corporation's operations are focused on discovering and developing its large and geographically diverse resource base of unconventional oil and natural gas assets onshore in the United States.

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