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Internship E Learning Developer Jobs in Milwaukee, WI

KOHLS

Senior MLOps Engineer (Remote)

Menomonee Falls, WI · On-site

$104K - $144K/yr

Experience in MLOps or DevOps practices, including building and operating production ML systems ... Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit ...

Danaher

Software Engineer Internships

Racine, WI · On-site

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

Danaher

Software Engineer Internships

Kenosha, WI · On-site

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

Danaher

Software Engineer Internships

Milwaukee, WI · On-site

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

Kiongroup

AI Internships

Wauwatosa, WI

$21 - $25/hr

... Internship at Dematic and ignite your career with innovation and learning! Are you eager to kick ... Currently enrolled in a bachelor's degree program in Computer Science, Engineering, Business, or a ...

Kion Group AG

AI Internships

Wauwatosa, WI · On-site

$21 - $25/hr

... Internship at Dematic and ignite your career with innovation and learning! Are you eager to kick ... Currently enrolled in a bachelor's degree program in Computer Science, Engineering, Business, or a ...

Kiongroup

AI Internships

Wauwatosa, WI

$21 - $25/hr

... Internship at Dematic and ignite your career with innovation and learning! Are you eager to kick ... Currently enrolled in a bachelor's degree program in Computer Science, Engineering, Business, or a ...

Danaher

Software Automation Internships

Racine, WI · On-site

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... internship start * Experience with hands-on lab testing and technical documentation (e.g., lab ...

Danaher

Software Automation Internships

Kenosha, WI · On-site

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... internship start * Experience with hands-on lab testing and technical documentation (e.g., lab ...

Danaher

Software Automation Internships

Milwaukee, WI · On-site

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... internship start * Experience with hands-on lab testing and technical documentation (e.g., lab ...

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All JobsE Learning Developer JobsInternship E Learning Developer JobsInternship E Learning Developer Jobs in Milwaukee, WI

Internship E Learning Developer information

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How much do internship e learning developer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for internship e learning developer in Milwaukee, WI is $22.56, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $23.94 per hour, depending on experience, location, and employer.

What are some typical projects or tasks an internship e learning developer might work on?

As an Internship E-Learning Developer, you'll often be involved in creating interactive online learning modules, assisting with multimedia content development (such as videos or quizzes), and helping to update or maintain existing e-learning platforms. You may also collaborate with instructional designers and subject matter experts to ensure course content is engaging and effective. This role provides hands-on experience with industry-standard authoring tools and learning management systems, making it a great starting point for a career in digital education.

What is the difference between Internship E Learning Developer vs E Learning Specialist?

AspectInternship E Learning DeveloperE Learning Specialist
Required CredentialsTypically pursuing or recent graduate in education, instructional design, or related fieldBachelor's or master's in instructional design, education technology, or related field
Work EnvironmentInternship setting, often in educational or corporate training departmentsFull-time professional role in corporate, educational, or training organizations
Employer & Industry UsageUsed in educational institutions, e-learning companies, and corporate training programsCommon in corporate, higher education, and e-learning service providers

The main difference is that an Internship E Learning Developer is an entry-level, temporary position aimed at gaining experience, while an E Learning Specialist is a full-time professional responsible for designing, developing, and managing e-learning content and programs.

What does an internship e learning developer do?

An Internship E Learning Developer assists in creating, designing, and maintaining online educational content and courses. They work with subject matter experts, instructional designers, and multimedia teams to build interactive learning modules, quizzes, and other digital resources. Interns often use e-learning software, such as Articulate Storyline or Adobe Captivate, and help test courses for quality and usability. This role is ideal for those interested in educational technology, instructional design, and digital content creation.

What are the key skills and qualifications needed to thrive as an internship e learning developer, and why are they important?

To thrive as an Internship E Learning Developer, you need a foundational understanding of instructional design, e-learning principles, and proficiency in digital content creation, often supported by coursework in education or related fields. Familiarity with e-learning authoring tools like Articulate Storyline, Adobe Captivate, and Learning Management Systems (LMS) is typically required. Strong communication, creativity, and attention to detail set candidates apart in developing engaging and effective learning experiences. These skills and qualities are essential for designing interactive, learner-focused modules that meet educational objectives and organizational needs.

What are popular job titles related to Internship E Learning Developer jobs in Milwaukee, WI?

For Internship E Learning Developer jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Internship E Learning Developer jobs in Milwaukee, WI look for?

The top searched job categories for Internship E Learning Developer jobs in Milwaukee, WI are:

Internship E Learning Developer jobs near you
Infographic showing various Internship E Learning Developer job openings in Milwaukee, WI as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $46,918 per year, or $22.6 per hour.

Senior MLOps Engineer (Remote)

KOHLS

Menomonee Falls, WI • On-site

$104K - $144K/yr

Other

Re-posted 15 days ago

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,464 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores

Job description

About the Role

As Senior MLOps Engineer, you will focus on supporting cross-functional teams in designing, deploying, and operating machine learning solutions while building scalable infrastructure, tools, and best practices across the Machine Learning Engineering (MLE) ecosystem.

What You’ll Do

  • Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient model development through cloud infrastructure and tooling

  • Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance, scalability, and cost efficiency

  • Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including developing reusable frameworks and standardized solutions to streamline model implementation

  • Partner with and support Data Scientists by enabling effective use of cloud-based tools and infrastructure, and providing technical expertise across the ML lifecycle

  • Collaborate with machine learning engineers to share knowledge, improve best practices, and foster a culture of continuous learning and development

  • Support development and maintain monitoring, alerting, and automated testing frameworks to ensure the reliability, performance, and integrity of data pipelines, models, and infrastructure

  • Develop, document, and communicate implementations and best practices across the data science lifecycle

  • Manage and communicate cloud infrastructure costs and budgets to project stakeholders

  • Stay current with GCP services and evolving best practices in Machine Learning Engineering and MLOps

  • Additional tasks may be assigned

What Skills You Have

Required

  • Experience in MLOps or DevOps practices, including building and operating production ML systems using Docker, Kubernetes, CI/CD pipelines, Git-based version control, API development, model serving (batch and real-time), and automated testing frameworks

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field

  • Experience working with Data Scientists to deploy, scale, and operationalize machine learning models in production environments

  • 3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery

  • In-depth knowledge of cloud platform, preferably Google Cloud Platform services, particularly Vertex AI, BigQuery and Dataproc.

  • Extensive expertise with CI/CD and 

  • IaC best practices

  • Extensive knowledge of distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL

  • Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)

  • Experience working in Agile environments with an emphasis on iterative development and continuous delivery

Preferred

  • Master’s Degree 

  • Proficiency in Java or other languages

  • Retail experience

  • E-commerce experience

  • 5+ years of experience in Machine Learning

  • Experience with optimization techniques and tools (e.g., Gurobi, linear programming, mixed-integer programming)

  • Experience working with agent based or agentic AI systems, including orchestration of autonomous workflows or LLM-driven agents

What Kohl's employees say

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