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Work Based Learning Program Aws Jobs in Madison, WI

Bespoke Labs

Machine Learning Engineer

Whitewater, WI · On-site

What You'll Be Working On You will work directly with our research team on RL environment and task ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Madison, WI · On-site

What You'll Be Working On You will work directly with our research team on RL environment and task ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Wisconsin

Learning Support Specialist

Madison, WI

$80K/yr

The use of evidence-based academic support practices, peer education models, and student success ... Using student success data for program evaluation and continuous improvement This full-time ...

UWHealth

Supervisor Social Work

Middleton, WI

$69K - $88K/yr

... based social work practices. * Foster staff engagement by identifying educational needs, facilitating learning opportunities, and encouraging participation in quality improvement initiatives.

UW Health

Supervisor Social Work

Middleton, WI · On-site

$77K - $116K/yr

... based social work practices. * Foster staff engagement by identifying educational needs, facilitating learning opportunities, and encouraging participation in quality improvement initiatives.

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Work Based Learning Program Aws information

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How much do work based learning program aws jobs pay per year?

As of Jul 17, 2026, the average yearly pay for work based learning program aws in Madison, WI is $81,989.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $89,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a Work-Based Learning Program focused on AWS, and why are they important?

To thrive in a Work-Based Learning Program focused on AWS, you need foundational knowledge of cloud computing concepts, basic programming skills, and familiarity with networking, supported by relevant coursework or entry-level certifications like AWS Cloud Practitioner. Hands-on experience with AWS tools such as EC2, S3, Lambda, and the AWS Management Console is typically required, along with understanding of version control systems like Git. Strong problem-solving abilities, willingness to learn, and effective communication are important soft skills for adapting to real-world technical environments. These skills and qualities are crucial for successfully applying cloud concepts in practical settings and collaborating with teams to solve business challenges.

What is the difference between Work Based Learning Program Aws vs Cloud Support Associate?

AspectWork Based Learning Program AwsCloud Support Associate
CredentialsTypically no formal certifications required; focus on trainingOften requires AWS certifications or related cloud credentials
Work EnvironmentEducational or training setting, often part-time or internshipProfessional cloud support environment, full-time role
Employer & Industry UsageEducational institutions, training providers, AWS programsCloud service providers, IT companies, AWS partners

The Work Based Learning Program Aws is primarily a training or internship opportunity designed to develop skills in AWS cloud services, often without requiring prior certifications. In contrast, a Cloud Support Associate is a full-time professional role that typically requires AWS certifications and involves supporting cloud customers in a real-world environment. While the learning program focuses on education and skill development, the associate role emphasizes practical support and troubleshooting in the industry.

What is a Work Based Learning Program with AWS?

A Work Based Learning Program with AWS is an educational initiative that combines classroom instruction with real-world work experience using Amazon Web Services (AWS) technologies. These programs are designed to help students and professionals gain hands-on cloud computing skills by working on projects, internships, or apprenticeships in partnership with employers. Participants learn about cloud infrastructure, deployment, and AWS services, making them more competitive in the job market. Such programs often include mentorship, industry certifications, and exposure to real business challenges.

How does participating in an AWS Work-Based Learning Program help prepare candidates for a cloud-focused career?

Participating in an AWS Work-Based Learning Program offers hands-on experience with key AWS cloud services, allowing candidates to apply classroom concepts to real-world projects. You'll typically collaborate with mentors and teammates in a structured environment, working on tasks such as cloud migration, automation, and security configuration. This immersion helps build both technical and professional skills, making you more competitive for roles such as cloud support associate or solutions architect. Additionally, exposure to industry best practices and networking opportunities within the program can significantly accelerate your career growth in cloud computing.
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Work Based Learning Program Aws jobs near you
AI & Machine Learning Developer

AI & Machine Learning Developer

Johnson Health Tech Companies

Cottage Grove, WI • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 8 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

132nd of 430 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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