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Apprentice Machine Learning Testing Jobs in Ohio

Chase

Applied AI ML Lead - ML Ops, CTC

Columbus, OH

Deploy machine learning models into production, ensuring they are scalable, reliable, and efficient. * Build and maintain CI/CD pipelines to automate testing, deployment, and updates for machine ...

Sarian, Inc.

Python Developer

Strongsville, OH · On-site

$46.25 - $64/hr

Data Analysis/Machine Learning: Utilizing Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning tasks. * Testing: Implementing test-driven development and ...

Hirekeyz Inc

API Testing Automation

Columbus, OH · On-site

$44.50 - $58.75/hr

Role: API Testing Automation Location: Columbus, OH Job Type: W-2/Full Time Executes software ... machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills * Experience ...

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

Data Scientist (Artificial Intelligence/Machine Learning)

USAJOBS - Search

Wright-patterson Air Force Base, OH

$125K/yr

Other

Posted 7 days ago

Job description

See below for important information regarding this job.
Position will be filled at any of the locations listed below. Site specific salary information as follows:
Battle Creek, MI: $125,776- $163,514
Columbus, OH: $131,245- $170,624
Dayton, OH: $130,461 - $169,604
Fort Belvoir, VA: $143,913- $187,093
New Cumberland, PA: $143,913- $187,093
Ogden, UT: $125,776- $163,514
Philadelphia, PA: $138,595- $180,178
Richmond, VA: $131,385- $170,806
Qualifications:To qualify for a Data Scientist (Artificial Intelligence/Machine Learning), your resume and supporting documentation must support:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
B. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-14 level, applicants must possess one year of specialized experience equivalent to the GS-13 level or equivalent under other pay systems in the Federal service, military, or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-aftercompetitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes:
  • Conducts large, agency wide, research and development reviews of metrics, measurements, and evaluation methods for emerging and existing areas of Al.
  • Utilizes data science expertise to develop algorithms and tools to support data manipulation and processing as well as the use of data visualization techniques to articulate high risk findings.
  • Ensures the Al systems are designed for auditability to manage Al risk assessment policies and principles which guide automated decisions supporting DLA business operations.
  • Provides expert advice to senior leadership and Al stakeholders to adopt new or revised policy and implementation plans resulting from Al test and evaluation integration.
  • Assesses data quality and establishes standards to validate quality criteria for data to ensure it meets the necessary requirements for Al testing and evaluation.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:Are you using your education to qualify? You MUST provide transcripts or other documentation to support your educational claims. Unless otherwise stated: Unofficial transcripts are acceptable at time of application.
GRADUATE EDUCATION: One academic year of graduate education is considered to be the number of credits hours that your graduate school has determined to represent one academic year of full-time study. Such study may have been performed on a full-time or part-time basis. If you cannot obtain your graduate school's definition of one year of graduate study, 18 semester hours (or 27 quarter hours) should be considered as satisfying the requirement for one year of full-time graduate study.
FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university.Employment Type: OTHER

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