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Machine Learning Teaching Assistant information

What are the key skills and qualifications needed to thrive as a Machine Learning Teaching Assistant, and why are they important?

To thrive as a Machine Learning Teaching Assistant, you need a solid foundation in machine learning concepts, programming (often Python), and relevant coursework or a degree in computer science or a related field. Familiarity with tools like Jupyter Notebooks, TensorFlow, PyTorch, and version control systems is commonly expected. Strong communication, patience, and organizational skills help you effectively support students and collaborate with instructors. These abilities ensure you can explain complex topics clearly, assist students efficiently, and contribute to a positive learning environment.

How does a Machine Learning Teaching Assistant typically collaborate with professors and students during a course?

As a Machine Learning Teaching Assistant, you will work closely with professors to develop and grade assignments, clarify course concepts, and facilitate discussions in lectures or lab sessions. You often serve as a bridge between students and faculty, providing guidance on programming tasks, troubleshooting code, and offering feedback on projects. Regular office hours and online forums are common venues for this support, making strong communication skills and a solid grasp of machine learning fundamentals essential. This collaborative environment helps you deepen your expertise while supporting student learning.

What are Machine Learning Teaching Assistants?

Machine Learning Teaching Assistants are individuals, often graduate students or knowledgeable undergraduates, who assist professors or instructors in teaching machine learning courses. Their responsibilities typically include helping students understand course material, grading assignments, holding office hours, and sometimes leading discussion or lab sessions. They act as a bridge between students and instructors, offering support for both theoretical concepts and practical implementation. By providing guidance and feedback, they help ensure students gain a solid understanding of machine learning principles and applications.
What are the most commonly searched types of Machine Learning Teaching jobs in Virginia? The most popular types of Machine Learning Teaching jobs in Virginia are:
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What job categories do people searching Machine Learning Teaching Assistant jobs in Virginia look for? The top searched job categories for Machine Learning Teaching Assistant jobs in Virginia are:
What cities in Virginia are hiring for Machine Learning Teaching Assistant jobs? Cities in Virginia with the most Machine Learning Teaching Assistant job openings:
Machine Learning Teaching Assistant jobs near you

Intern - Applications, AI and Machine Learning (Fall 2026) (ET26021)

TMEIC Corporation Americas

Roanoke, VA • On-site

Temporary

Posted 6 days ago

Job description

Job # ET26021

Job Title  Intern - Applications, AI and Machine Learning

Office Location Roanoke, VA preferred

Business/Department   Energy and Infrastructure Solutions / Operations

Sales Territory, if applicable        

General Role Description

Provide software design support for data analytics and technical support for business data solutions for information technology projects that meet client needs and fulfill project requirements

Role Accountabilities

- Gather pertinent information from authorized sources to assess project requirements as related to assigned scope of work

- Create and document computer-based software modules to meet functionality and work progress targets, as directed, at prescribed design checkpoints

- Recommend improvements to test procedures to better identify where software does not meet all project requirements for

assigned scope of work

- Design, build, and deploy artificial intelligence/machine learning systems and applications that solve complex business problems

- Develop dashboards based on business requirements following industry best practices and approved methodologies

- Identify key trends and patterns via analysis of internal and external data associated with the performance of the company

and report to manager

- Design, implement, test, deploy and document system configurations including data analytics structures, visualizations

and dashboards to meet project requirements

- Verify data accuracy, quality and integrity when sourcing and curating data from the Company's business systems into data

models

- Provide technical consulting to users regarding applications and development

- Ensure completion of assignments within the defined scope, quality, and time

- Provide regular, accurate and considered status reports to parties deemed appropriate to the situation

General Employee Accountabilities

- Bring full effort to bear on tasks assigned by manager

- Give manager best advice

- Give earliest notice when work cannot be delivered as specified

- Cooperate and collaborate with peers and interact cross-organizationally as specified by manager

- Exemplify Company Core Values: Integrity, Client Focus, Team Orientation, and Personal Commitment

- Comply with all Company policies, practices, and procedures and all regulations and laws

- Recommend viable improvements proactively

- Ensure effective utilization of business tools and processes

Requirements

Minimum Qualifications

  • High school diploma
  • Enrolled in Bachelor of Science in Computer Science, Data Science or Mathematics program, or related field, with related coursework
  • Classes, labs and projects with concentration in some combination of data analysis, data analytics structures, data preparation, ETL processes or data visualization
  • Demonstrated problem solving skills
  • Demonstrated successful working relationships with others in educational or employment setting
  • Demonstrated successful and positive personal leadership, interpersonal, organizational, administrative, and communication skills
  • Proficiency in MS Office suite
  • Availability to travel domestically, up to 5%, sometimes with limited notice
  • Visa sponsorship not available for this position
  • This is not a benefits eligible position

Preferred Qualifications

- Bachelor of Science in Computer Science, Data Science or Mathematics

- Enrolled in Master of Science in Computer Science, Data Science or Mathematics

- Working knowledge of Oracle data analytics tools

- Work experience as a research assistant, intern, or co-op in the above areas

Link to TMEIC Corporation Americas website:  https://www.tmeic.com/.  To be considered an applicant for any available positions, individuals must complete an online job application for each posting.  A resume may be attached to the online application but is not considered a substitute for the information in the application.  Applications will be considered only for the specific position for which the application is submitted.

EEO/AA/M/F/Vet/Disability Employer

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