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Internship Aws Machine Learning Jobs in Wisconsin

YUM

WI · On-site

$105.50 - $132.20/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Machine Learning Engineer, you will play a crucial role in developing and deploying ... Experience with cloud computing platforms such as AWS, Azure, or GCP. Benefits Employees (and their ...

Schneider National

AI & Machine Learning Engineer

Green Bay, WI · On-site

$90 - $120/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Schneider is seeking an AI & Machine Learning Engineer in Green Bay to design and develop ... Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) and big data technologies.

Bespoke Labs

Machine Learning Engineer

Madison, WI · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Devitechs

WI · On-site

$90 - $130/hr

Utilize cloud platforms such as AWS, Azure, or GCP for model deployment and scalability * Develop APIs and services to expose machine learning functionalities to other applications * Troubleshoot and ...

Bespoke Labs

Machine Learning Engineer

Milwaukee, WI · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Green Bay, WI · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Whitewater, WI · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Menomonie, WI · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Kenosha, WI · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Racine, WI · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Fluency Digital, Inc.

WI · On-site

$110 - $160/hr

Python, PyTorch, TensorFlow, AWS, GCP, OpenCV #J-18808-Ljbffr

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Internship Aws Machine Learning jobs near you
Infographic showing various Internship Aws Machine Learning job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Machine Learning Engineer II (5289)

YUM

WI • On-site

$105.50 - $132.20/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Company Overview

Yum Brands is a global leader in the fast‑food industry, with a portfolio of renowned brands including KFC, Pizza Hut, Taco Bell, and more. We are dedicated to providing delicious, convenient, and innovative food experiences to our customers worldwide.

Position Overview

We are seeking a talented and passionate Machine Learning Engineer to join our dynamic team at Yum Brands. As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting‑edge machine learning models and solutions to enhance various aspects of our business operations, from customer experience optimization to supply chain management.

Key Responsibilities
  • Collaborate with cross‑functional teams including data scientists, software engineers, and business stakeholders to identify opportunities for leveraging machine learning techniques to drive business outcomes.
  • Design, develop, and deploy scalable machine learning models and algorithms that address business challenges and improve operational efficiency.
  • Optimize machine learning models for performance, scalability, and efficiency.
  • Build robust data pipelines and infrastructure to support the training and deployment of machine learning models in production environments.
  • Work with DevOps teams to automate deployment processes, monitor system performance, and ensure the smooth operation of applications and services in production.
  • Stay updated on emerging technologies and industry trends in machine learning, software engineering, and cloud computing, and evaluate their potential impact on our business operations.
Qualifications
  • Bachelor’s or master’s degree in computer science, engineering, mathematics, or a related field.
  • Proven experience (4+ years) in developing and deploying in production environments, preferably in the context of real‑world business applications.
  • Proficiency in Python with strong software engineering skills and experience in building scalable and maintainable code.
  • Proficiency in message queue technologies and services such as Kafka, Pulsar, or RabbitMQ and experience working with real‑time data streaming.
  • Experience working with containerization technologies such as Docker and Kubernetes.
  • Strong analytical and problem‑solving skills, with the ability to translate business requirements into technical solutions.
  • Excellent communication and collaboration skills, with the ability to work effectively in a fast‑paced and dynamic environment.
Nice to Have
  • Familiarity with latest tools and trends surrounding Large Language Models and Generative AI.
  • Experience with cloud computing platforms such as AWS, Azure, or GCP.
Benefits

Employees (and their eligible family members) may enroll in medical, dental, vision, legal, and accidental death and dismemberment insurance coverage, as well as FSA/HSA, depending on the enrolled medical plan. Yum! also provides short‑term disability, long‑term disability, and life insurance. Employees may enroll in our 401(k) plan. Yum! provides 4 weeks of vacation, paid sick leave, 10 paid holidays, a floating day off, half‑day Fridays year‑round, and 2 paid days for volunteer time each calendar year.

Salary Range: 105,500 - 132,200

Equal Employment Opportunity

Yum! Brands is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic. Yum! is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.

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