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Machine Learning Ai Intern Jobs in Indiana (NOW HIRING)

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

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Machine Learning Ai Intern information

What does a Machine Learning AI Intern do?

A Machine Learning AI Intern assists in developing, testing, and deploying machine learning models and algorithms under the supervision of experienced data scientists or engineers. Typical responsibilities include data preprocessing, feature engineering, model evaluation, and documentation. Interns may also help in researching new AI techniques and supporting the integration of models into existing applications. The role provides hands-on experience with machine learning tools, programming languages like Python, and frameworks such as TensorFlow or PyTorch. This internship helps build foundational skills for a career in artificial intelligence and data science.

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

To thrive as a Machine Learning AI Intern, you need a solid foundation in mathematics, programming (often Python), and machine learning concepts, usually supported by coursework or relevant projects. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Curiosity, problem-solving ability, and strong communication skills help interns collaborate effectively and learn quickly in dynamic environments. These skills are crucial for contributing meaningfully to projects, adapting to new technologies, and growing within the fast-evolving AI field.

What types of projects do Machine Learning AI Interns typically work on during their internship?

As a Machine Learning AI Intern, you can expect to work on real-world projects such as developing predictive models, performing data preprocessing and analysis, or contributing to the improvement of existing algorithms. Interns often assist with tasks like data cleaning, feature engineering, and model evaluation, while collaborating closely with data scientists and engineers. This hands-on experience helps interns build practical skills and gain exposure to the entire machine learning workflow in a professional setting.

What is the difference between Machine Learning Ai Intern vs Data Science Intern?

AspectMachine Learning Ai InternData Science Intern
Required CredentialsRelevant coursework, programming skills, basic understanding of ML conceptsStatistics, programming, data analysis skills, often with similar educational background
Work EnvironmentTech companies, startups, research labs focusing on AI/ML projectsVariety of industries including finance, healthcare, tech, focusing on data analysis
Employer & Industry UsagePrimarily in AI/ML development teams within tech and research sectorsAcross industries for data analysis, reporting, and decision-making support

Machine Learning Ai Interns focus on developing and applying AI and ML models, often working closely with data scientists and engineers. Data Science Interns work on analyzing data, creating reports, and supporting data-driven decisions. While both roles require programming and analytical skills, ML Interns typically specialize in AI algorithms, whereas Data Science Interns focus on broader data analysis tasks.

What cities in Indiana are hiring for Machine Learning Ai Intern jobs? Cities in Indiana with the most Machine Learning Ai Intern job openings:
Machine Learning Ai Intern jobs near you

Artificial Intelligence (AI) Internship - Hybrid Remote

Hoosier Energy

Bloomington, IN • Hybrid

Full-time

Re-posted 25 days ago

Job description

Are you looking to gain valuable, hands-on experience with an Artificial Intelligence (AI) internship? Hoosier Energy is offering a paid internship through August 2026 with the possibility of extension. We are seeking an organized, self-motivated college student to join our team.

The internship schedule will be Monday-Friday, up to 40 hours per week, with the days and hours being flexible based upon intern availability. Hybrid work is also an option.

Position Summary 

The AI Intern will support Hoosier Energy’s efforts to leverage artificial intelligence for operational and business efficiency. This role involves assisting with AI model evaluation, data preparation, application integration, and documentation while adhering to Hoosier Energy’s AI usage policies and governance standards. 

Key Responsibilities

  • Assist in developing and testing AI models for predictive maintenance, cybersecurity anomaly detection, and data-driven decision-making.
  • Support integration of AI tools (e.g., Microsoft Copilot, generative AI platforms) into business workflows under supervision.
  • Prepare datasets for AI training, ensuring compliance with data governance and privacy standards.
  • Document AI use cases, workflows, and risk assessments in alignment with Hoosier Energy’s AI Policy.
  • Collaborate with Technology Governance Committee on AI product assessments and vendor evaluations.
  • Monitor AI outputs for accuracy and reliability; ensure human review of all deliverables (“Human in the Loop”).
  • Research emerging AI trends and provide recommendations for safe and effective adoption.

Qualifications

  • Currently a Junior level or above college student pursuing a degree in Informatics, Artificial Intelligence, Computer Science, Computer Engineering, Data Science, Cybersecurity, or related field.
  • Familiarity with machine learning concepts, large language models, and generative AI.
  • Strong analytical and problem-solving skills; attention to detail in compliance-driven environments.
  • Basic programming skills (Python preferred) and understanding of data privacy principles.

Compliance & Ethics

  • Must adhere to Hoosier Energy’s AI Policy, including restrictions on sensitive data, intellectual property, and privacy.
  • All AI-generated work must undergo human review before finalization.

About Hoosier Energy: Hoosier Energy is a generation and transmission cooperative providing wholesale power and services to 17-member distribution cooperatives across central and southern Indiana and southeastern Illinois. Headquartered in Bloomington, Indiana, we serve over 700,000 consumers across a service area of 15,000 square miles.

Apply today to enhance your skills and take the next step in your professional development!

Hoosier Energy is an Equal Opportunity Employer and prohibits discrimination on the basis of race, color, religion, national origin, sex (including pregnancy and gender identity), sexual orientation, age, ancestry, genetic information, disability, veteran status or any other characteristic protected by federal, state or local laws.

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