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Machine Learning Assistant information

What are some common challenges a Machine Learning Assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What is a Machine Learning Assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

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

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.
What are the most commonly searched types of Machine Learning jobs in Virginia? The most popular types of Machine Learning jobs in Virginia are:
What are popular job titles related to Machine Learning Assistant jobs in Virginia? For Machine Learning Assistant jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Machine Learning Assistant jobs in Virginia look for? The top searched job categories for Machine Learning Assistant jobs in Virginia are:
What cities in Virginia are hiring for Machine Learning Assistant jobs? Cities in Virginia with the most Machine Learning Assistant job openings:
Machine Learning Assistant jobs near you

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

TMEIC Corporation Americas

Roanoke, VA • On-site

Temporary

Re-posted 16 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

HiringRange: $55,600-83,400

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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