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Internship Machine Learning Intern Jobs in Ohio (NOW HIRING)

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

dbi

Alterations Intern

Cincinnati, OH · On-site

They will gain an understanding of the retail business by learning and completing skill level ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

Turabify Co.

Ai Automation Intern

Franklin, OH · On-site

$13.75 - $18.50/hr

This internship is ideal for tech-savvy individuals looking to gain valuable experience in ... Basic understanding of AI concepts, machine learning, and automation technologies. * Proficiency in ...

Turabify Co.

Ai Automation Intern

Columbus, OH · On-site

$13.75 - $18.50/hr

This internship is ideal for tech-savvy individuals looking to gain valuable experience in ... Basic understanding of AI concepts, machine learning, and automation technologies. * Proficiency in ...

AEVEX

Engineering Intern - Data Science

Dayton, OH

$16.25 - $21.25/hr

They will also contribute to the development and training of machine learning models for image ... typical internship. Essential Functions * Design and refine a data schema for the Foxglove ...

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Internship Machine Learning Intern information

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

To thrive as a Machine Learning Intern, a solid understanding of programming (especially Python), statistics, linear algebra, and foundational machine learning concepts is essential, often supported by ongoing or completed coursework in computer science or related fields. Familiarity with tools and libraries such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, eagerness to learn, and effective communication skills help interns excel in collaborative and fast-paced environments. These skills enable interns to contribute meaningfully to projects, adapt to new challenges, and effectively communicate technical findings.

What types of projects do Machine Learning Interns typically work on, and how much autonomy can I expect?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, building and testing machine learning models, and collaborating on research or product development tasks. While you’ll usually work under the guidance of experienced engineers or researchers, many organizations encourage interns to take ownership of specific project components, propose solutions, and present findings. This balance between mentorship and autonomy helps interns gain practical experience while ensuring support is available when tackling challenging problems.

What are Machine Learning Interns?

Machine Learning Interns are students or early-career professionals who support teams in developing and implementing machine learning models and algorithms. They typically assist with data collection, cleaning, model training, and evaluation under the supervision of experienced engineers or scientists. These internships provide hands-on experience with real-world data science projects, often using programming languages like Python and tools such as TensorFlow or PyTorch. The goal is to help interns build practical skills and contribute to ongoing machine learning initiatives within an organization.

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

AspectInternship Machine Learning InternData Science Intern
Required SkillsBasic programming, machine learning concepts, Python, data analysisData analysis, statistics, programming, visualization
Work EnvironmentTech companies, research labs, startupsTech firms, consulting, finance, healthcare
Industry UsageMachine learning projects, model developmentData analysis, reporting, business insights

Both roles are internship positions in data-related fields, with Machine Learning Intern focusing on developing and applying machine learning models, while Data Science Intern emphasizes data analysis and insights. The roles often overlap but differ mainly in technical focus and project scope.

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

Machine Learning Engineer Intern

Aivra Health LLC

$28 - $45/hr

Other

Posted 16 days ago

Job description

Machine Learning Engineer Intern

United States
Internship | Full-Time (40 hours/week)
Pay Range: $28 – $45 per hour 
Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome

Position Overview

We are seeking a highly motivated Machine Learning Engineer Intern to join our AI/ML team. This role is ideal for students or entry level candidates in STEM fields who are passionate about building scalable machine learning models and deploying them into production environments.

The intern will work closely with Data Scientists and Software Engineers to develop, train, evaluate, and deploy machine learning models that solve real-world business problems.

Key Responsibilities

  • Assist in building and training machine learning and deep learning models

  • Perform data preprocessing, feature engineering, and exploratory data analysis (EDA)

  • Implement supervised and unsupervised learning algorithms

  • Optimize model performance using hyperparameter tuning

  • Deploy ML models using REST APIs or cloud services

  • Work on model monitoring, validation, and performance tracking

  • Collaborate with cross-functional teams in Agile/Scrum environment

  • Document experiments and maintain reproducible ML workflows

Required Qualifications

  • Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or related STEM field

  • Strong understanding of Machine Learning fundamentals

  • Knowledge of Probability, Statistics, and Linear Algebra

  • Basic understanding of Data Structures and Algorithms

Technical Skills (ATS Keywords)Programming Languages

  • Python

  • R (preferred)

  • Java (basic knowledge)

  • SQL

Machine Learning & AI Frameworks

  • Scikit-learn

  • TensorFlow

  • Keras

  • PyTorch

  • XGBoost

  • LightGBM

Data Processing & Big Data

  • Pandas

  • NumPy

  • Apache Spark

  • PySpark

  • Hadoop

NLP & Advanced Techniques (Preferred)

  • Natural Language Processing (NLP)

  • Computer Vision

  • Deep Learning

  • Transformers

  • LLM fundamentals

Cloud & MLOps

  • AWS (SageMaker, S3, EC2)

  • Microsoft Azure ML

  • Google Cloud AI Platform

  • Docker

  • Kubernetes

  • MLflow

  • CI/CD pipelines

  • Model Deployment & Monitoring

Tools & Concepts

  • Git

  • REST APIs

  • Feature Engineering

  • Model Evaluation Metrics

  • A/B Testing

  • Agile/Scrum

Preferred Qualifications

  • Prior ML internship or academic research experience

  • Experience deploying models into production

  • Knowledge of MLOps practices

  • Strong problem-solving and analytical skills

  • Good communication and teamwork abilities

Compensation & Benefits

  • Competitive hourly compensation ($28 – $45/hr)

  • Hands-on real-world AI/ML project experience

  • Mentorship from senior ML engineers

  • Opportunity for full-time conversion

  • H1B sponsorship support for eligible candidates

  • STEM OPT extension support

Equal Opportunity Employer

We are an Equal Opportunity Employer and encourage applications from diverse backgrounds, including international students and professionals requiring H1B sponsorship or STEM OPT support.

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