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Aws Machine Learning Jobs in Wisconsin (NOW HIRING)

Generac

Data Scientist II

Waukesha, WI · On-site

... machine learning and data mining techniques. Preferred Qualifications: * Master's and/or PhD are a strong plus * Experience in agentic AI across organization * Experience in cloud environments (AWS ...

Pwc

CTIO AI Engineering Manager

Milwaukee, WI

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... like AWS, GCP, Azure - Contributing to open-source projects or AI/ML publication Travel ...

Generac

Senior Platform & Analytics Analyst

Waukesha, WI

$86K - $108K/yr

Additional duties include leading advanced analytics projects with machine learning and AI for ... Expertise in analytics platforms and tools (e.g., Power BI, AWS/GCP/Azure cloud services ...

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$96

How much do aws machine learning jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for aws machine learning in Wisconsin is $70.72, according to ZipRecruiter salary data. Most workers in this role earn between $62.84 and $82.50 per hour, depending on experience, location, and employer.

What is an AWS Machine Learning job?

An AWS Machine Learning job involves designing, building, and deploying machine learning models using Amazon Web Services (AWS) cloud infrastructure. Professionals in this role work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to develop AI-driven applications. They optimize models for scalability, integrate them into cloud-based systems, and ensure efficient data processing. Strong knowledge of machine learning algorithms, AWS architecture, and MLOps best practices is essential for success in this role.

What are the key skills and qualifications needed to thrive in the Aws Machine Learning position, and why are they important?

To thrive as an AWS Machine Learning professional, you need a strong understanding of machine learning principles, proficiency in programming languages like Python, and experience with AWS cloud services such as SageMaker. AWS Certified Machine Learning certification and familiarity with data pipelines, EC2, and Lambda are commonly required. Strong problem-solving, communication, and teamwork skills help you translate business requirements into technical solutions and collaborate effectively with diverse stakeholders. These skills are essential to efficiently deploy and manage scalable machine learning models that deliver business value in cloud-based environments.

What are some typical responsibilities for someone working in an AWS Machine Learning role?

In an AWS Machine Learning position, you'll typically design, develop, and deploy machine learning models using AWS services like SageMaker, Glue, and Lambda. Daily tasks often include data preprocessing, building and training models, and optimizing performance for production environments. You'll collaborate closely with data engineers, software developers, and business analysts to translate business needs into technical solutions. The role may also involve monitoring deployed models, managing cloud resources, and staying updated on new AWS features to ensure efficient and scalable machine learning workflows.

What are the most commonly searched types of Aws Machine Learning jobs in Wisconsin? The most popular types of Aws Machine Learning jobs in Wisconsin are:
What are popular job titles related to Aws Machine Learning jobs in Wisconsin? For Aws Machine Learning jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Aws Machine Learning jobs in Wisconsin look for? The top searched job categories for Aws Machine Learning jobs in Wisconsin are:
Aws Machine Learning jobs near you
Infographic showing various Aws Machine Learning job openings in Wisconsin as of June 2026, with employment types broken down into 79% Full Time, 15% Part Time, and 6% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $147,088 per year, or $70.7 per hour.
AI & Machine Learning Developer

AI & Machine Learning Developer

Johnson Health Tech North America Inc

Cottage Grove, WI

Other

Medical, Dental, Life, Retirement, PTO

Posted 25 days ago

Johnson Health Tech rating

8.1

Company rating: 8.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

124th of 421 rated machine equipment manufacturers

Job description

Description


Position Overview:

Under the direction of the Sr. Director of Electrical Engineering, the AI/ML Developer - Mobile Fitness Applications will The AI/ML Developer will design and prototype advanced artificial intelligence features for Johnson Health Tech's mobile fitness applications. This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side Android developers to integrate these features into production applications.


Responsibilities:

Research, design, and implement AI/ML solutions for mobile fitness applications.

Develop and fine-tune LLMs for natural language interactions and personalization.

Build scalable backend services using AWS technologies (Lambda, DynamoDB, SageMaker, etc.).

Build scalable production ready ML ops pipeline and inference endpoints using AWS technologies e.g. SageMaker, Bedrock.

Collaborate with Android developers to integrate AI features into client-side applications.

Create prototypes and proof-of-concepts for new AI-driven features.

Stay current with emerging AI/ML technologies and best practices.

Ensure compliance with data privacy and security standards.

Requirements


Education:

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.


Experience:

3+ years of experience in AI/ML development, with a focus on Natural Language Processing (NLP) and LLMs.

Hands-on experience with AWS services for AI/ML deployment.

Proficiency in Python and ML frameworks (TensorFlow, PyTorch).

Experience with RESTful APIs and microservices architecture.


Benefits:

We offer an excellent compensation package and team-oriented work environment with growth opportunities. Some of our outstanding benefits include:

Health & Dental Insurance

Company paid Life Insurance

401(k)

Paid Time Off benefits

Product discounts

Wellness programs



 Equal Opportunity Employer, including Veterans and Individuals with Disabilities 

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