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Internship Verizon Java Developer Jobs in Ohio (NOW HIRING)

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... R (preferred) * Java (basic knowledge) * SQL Machine Learning & AI Frameworks * Scikit-learn

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... R (preferred) * Java (basic knowledge) * SQL Machine Learning & AI Frameworks * Scikit-learn

$70K - $95K/yr

Collaborate with cross-functional teams (Product, QA, DevOps) * Contribute to CI/CD pipelines and ... Java * Python * C++ * JavaScript * TypeScript * C# Frontend Technologies * React.js * Angular * Vue ...

$70K - $95K/yr

Collaborate with cross-functional teams (Product, QA, DevOps) * Contribute to CI/CD pipelines and ... Java * Python * C++ * JavaScript * TypeScript * C# Frontend Technologies * React.js * Angular * Vue ...

$70K - $95K/yr

Collaborate with cross-functional teams (Product, QA, DevOps) * Contribute to CI/CD pipelines and ... Java * Python * C++ * JavaScript * TypeScript * C# Frontend Technologies * React.js * Angular * Vue ...

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Internship Verizon Java Developer information

What are the key skills and qualifications needed to thrive as an Internship Verizon Java Developer, and why are they important?

To thrive as an Internship Verizon Java Developer, you need a solid understanding of Java programming, object-oriented principles, and basic software development concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with development tools such as Eclipse or IntelliJ IDEA, version control systems like Git, and possibly exposure to REST APIs or databases is often expected. Strong problem-solving skills, eagerness to learn, and effective teamwork and communication abilities help interns stand out in collaborative tech environments. These skills ensure you can contribute to real-world projects, adapt to evolving technology, and work efficiently within development teams.

What types of projects and responsibilities can I expect as an intern Java Developer at Verizon?

As an intern Java Developer at Verizon, you can expect to work on real-world projects that contribute to the company’s products and services, such as developing backend services, troubleshooting code, or automating processes. Your daily responsibilities might include writing and testing Java code, collaborating with cross-functional teams, and participating in code reviews. You'll also have opportunities to attend learning sessions, interact with mentors, and gain exposure to Agile development methodologies. This hands-on experience is designed to help you build technical skills and understand how large-scale software projects are managed in a corporate environment.

What does an Internship Verizon Java Developer do?

An Internship Verizon Java Developer assists in designing, coding, testing, and maintaining Java-based applications under the guidance of experienced software engineers at Verizon. Interns typically work on real-world projects, collaborate with teams, and participate in code reviews, all while learning industry best practices. This role provides hands-on experience with Java programming and exposure to Verizon's technology stack, helping interns develop both technical and professional skills.
What are the most commonly searched types of Verizon Java Developer jobs in Ohio? The most popular types of Verizon Java Developer jobs in Ohio are:
What cities in Ohio are hiring for Internship Verizon Java Developer jobs? Cities in Ohio with the most Internship Verizon Java Developer job openings:

$28 - $45/hr

Other

Posted 9 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.