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Apprentice Machine Learning Testing Jobs in Ohio

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 ...

ALTEN Technology USA

PLC Automation Engineer

Raymond, OH · On-site

... machine learning, industrial IoT, or related technical environments within the automotive or manufacturing industry. * This position is focused on supporting the development, testing, and deployment ...

nVent

Tool & Die Maker/Machinist Apprentice

Solon, OH · On-site

The NTMA-U online learning program delivers the classroom instruction required for the program ... Set-up and operate all machine tools in a tool room environment including but not limited to ...

Alliance Automation

Machine Builder III

Van Wert, OH

$18.75 - $24/hr

... and testing of automated machinery and systems. The Machine Builder Level 3 will work with ... and apprentices. 5) Lead assembly and installation projects to ensure they are completed on ...

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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

Python Developer

Sarian, Inc.

Strongsville, OH • On-site

$46.25 - $64/hr

Full-time

Re-posted 23 hours ago

Job description

Must Have Technical/Functional Skills:
  • Python Programming: Proficiency in Python language and its ecosystem.
  • Frameworks: Knowledge of Python web frameworks (Django, Flask, etc.).
  • Databases: Experience with relational databases (SQL) and/or NoSQL databases.
  • APIs: Familiarity with REST APIs and other API protocols.
  • Version Control: Proficiency with Git and other version control systems.
  • Testing: Knowledge of unit testing, integration testing, and automated testing frameworks.
  • Debugging: Strong debugging skills and ability to troubleshoot issues.
  • Problem-solving: Ability to analyze problems, identify solutions, and implement them effectively.

Roles & Responsibilities:
  • Code Development: Writing, testing, and debugging Python code for various applications.
  • Back-end Development: Developing server-side logic, back-end components, and APIs.
  • Integration: Integrating applications with other services and systems.
  • Frameworks: Utilizing Python frameworks like Django and Flask for web application development.
  • Collaboration: Working with front-end developers, software architects, and other teams to deliver cohesive solutions.
  • Optimization: Optimizing code for performance, scalability, and security.
  • 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 automated testing.
  • Debugging: Troubleshooting and debugging application issues.
  • Security: Implementing security measures to protect data and applications.

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