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Artificial Intelligence Machine Learning Internship Jobs in Kentucky

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Artificial Intelligence Machine Learning Internship information

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning intern?

To thrive as an Artificial Intelligence Machine Learning Intern, you need foundational knowledge in computer science, statistics, and mathematics, often supported by coursework or a degree in a related field. Familiarity with programming languages like Python, machine learning libraries such as TensorFlow or PyTorch, and experience using data analysis tools are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns excel in collaborative, fast-paced environments. These skills and qualities are essential to contribute meaningfully to projects, learn quickly, and adapt to evolving technological challenges.

What types of projects can an artificial intelligence machine learning intern expect to work on during their internship?

As an AI/ML intern, you can expect to work on a variety of projects such as data preprocessing, model development, and performance evaluation. Interns often assist in building and testing machine learning models, analyzing large datasets, and contributing to the improvement of existing algorithms. You may also collaborate closely with data scientists, engineers, and product teams to solve real-world problems and help integrate AI solutions into business processes. These experiences provide valuable exposure to both research and practical applications in the field.

What is the difference between Artificial Intelligence Machine Learning Internship vs Data Science Internship?

AspectArtificial Intelligence Machine Learning InternshipData Science Internship
Required CredentialsBasic programming, math, and AI/ML knowledgeStatistics, programming, and data analysis skills
Work EnvironmentTech companies, research labs, startupsBusiness, finance, healthcare, tech firms
Employer & Industry UsageAI/ML-focused roles in tech and researchData analysis and insights across industries
Search & Comparison IntentUnderstanding AI/ML internship roles and skillsExploring data science internship opportunities

Artificial Intelligence Machine Learning internships focus on developing AI and ML models, requiring programming and math skills. Data Science internships emphasize analyzing data to generate insights, often involving statistics and data visualization. While both roles involve data and programming, AI/ML internships are more specialized in building intelligent systems, whereas Data Science internships focus on interpreting data for decision-making.

What is an artificial intelligence machine learning internship?

An Artificial Intelligence (AI) Machine Learning (ML) Internship is a temporary position designed for students or recent graduates to gain hands-on experience in AI and ML fields. Interns work on real-world projects involving data analysis, model development, and the application of machine learning algorithms under the guidance of experienced professionals. These internships help individuals develop practical skills, build a professional network, and improve their understanding of current technologies and tools used in AI and ML. Interns may also participate in research, code reviews, and present their findings. This experience is valuable for pursuing a career in data science, AI engineering, or related fields.
What are popular job titles related to Artificial Intelligence Machine Learning Internship jobs in Kentucky? For Artificial Intelligence Machine Learning Internship jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Internship jobs in Kentucky look for? The top searched job categories for Artificial Intelligence Machine Learning Internship jobs in Kentucky are:
What cities in Kentucky are hiring for Artificial Intelligence Machine Learning Internship jobs? Cities in Kentucky with the most Artificial Intelligence Machine Learning Internship job openings:
Artificial Intelligence Machine Learning Internship jobs near you
Infographic showing various Artificial Intelligence Machine Learning Internship job openings in Kentucky as of June 2026, with employment types broken down into 43% Full Time, 54% Part Time, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Adjunct Faculty - Artificial Intelligence

University of the Cumberlands

Williamsburg, KY • On-site, Remote

Part-time

Re-posted 11 days ago

University Of The Cumberlands rating

9.2

Company rating: 9.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 617 rated colleges and universities

Job description

Get Set for Cumberlands!
Join our team of student-focused individuals working together in order to encourage intellectual and spiritual growth, leadership and service.
CURRENT STUDENT or EMPLOYEE? Please log into Workday and use the Career Tile to find and apply to jobs from our internal career sites.
Consistent with and supportive of UC's mission to provide industry-relevant higher education to a diverse student population. Adjunct Faculty members provide quality and innovative instruction and meaningful engagement with our students to successfully achieve the relevant course, program, and degree level outcomes and support their academic success in the Artificial Intelligence Domain.
Responsibilities:.
  • Provide instruction in assigned courses (including applicable laboratory or work that is integral to the courses).
  • Engage and communicate with students to encourage their course participation and learning while maintaining mutual respect and professionalism.
  • Maintain accessibility for and provide timely responsiveness to students, academic/faculty leadership, and University staff by telephone, UC e-mail, and other appropriate means of communication.
  • Establish and maintain weekly office hours for student questions/support.
  • Assess student performance on course assignments and provide assignment feedback to support continued student growth and development.
  • Maintain appropriate documentation of student course activities.
  • Refer students to appropriate co-curricular and extra-curricular resources (e.g., advising, tutoring, library, learning centers, and career services).
  • Work closely with Program Chair and/or Lead Faculty (as appropriate).
  • Perform other responsibilities and abide by the appropriate policies and procedures contained in UC's Faculty Handbook.

Required Skills:
  • Strong organizational and time management skills
  • Strong interpersonal and oral presentation/written communication skills.
  • Proficiency in working effectively with Blackboard
  • Proficiency with standard office and mobile applications
  • Proficiency in any of the following topics: Statistics, Python Programming, R Programming, Artificial Intelligence, Natural Language Processing, and Deep Learning.

Required:
  • Doctoral/PhD Degree required with a minimum of 2 years of online teaching experience at the University Level (Graduate Level Courses)
  • Master Degree required with a minimum of 2 years of online teaching experience at the University Level (Undergraduate Level Courses)
  • Minimum and preferred from an institution regionally accredited by an agency recognized by the U.S. Department of Education.
  • 18 graduate semester credit hours in Artificial Intelligence, Machine Learning, and/or Data Science.

Recommended:
  • AI courses & certification from Microsoft, Google, IBM, and other similar Academic institutions.
  • Documented work experience in the field of Artificial Intelligence
  • Candidate must be based in the US.

Cumberlands is different by design. Our employees exemplify our motto in the pursuit of a
"life-more-abundant."
Cumberlands is different by design. Our employees exemplify our motto in the pursuit of a
"life-more-abundant."

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