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Junior Aws Machine Learning Jobs in Manitowoc, WI

Familiarity with AI tools, prompt engineering concepts, machine learning fundamentals, or generative AI technologies is a plus. * Familiarity with cloud platforms (AWS, Azure, or Snowflake) a plus.

Familiarity with AI tools, prompt engineering concepts, machine learning fundamentals, or generative AI technologies is a plus. * Familiarity with cloud platforms (AWS, Azure, or Snowflake) a plus.

Junior Aws Machine Learning information

See Manitowoc, WI salary details

$44.9K

$91.3K

$137.2K

How much do junior aws machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for junior aws machine learning in Manitowoc, WI is $91,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What is a junior AWS machine learning engineer?

Junior AWS Machine Learning engineers are entry-level professionals who work with Amazon Web Services (AWS) to develop, deploy, and maintain machine learning models. They assist in data preparation, model training, and integration of AI solutions using AWS tools such as SageMaker, Lambda, and S3. These engineers often collaborate with data scientists and software teams to implement predictive analytics and automation solutions on the AWS cloud platform. Their role typically involves learning best practices for cloud security, data handling, and scalable machine learning deployment.

What are the key skills and qualifications needed to thrive as a junior AWS machine learning engineer?

To thrive as a Junior AWS Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AWS services like SageMaker, Lambda, and S3, as well as certifications such as AWS Certified Machine Learning – Specialty, are highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical ideas clearly help you stand out in this role. These skills and qualities are crucial for efficiently developing, deploying, and maintaining machine learning solutions on AWS in collaborative, fast-paced environments.

What are some common challenges faced by junior AWS machine learning engineers when deploying models to production environments?

Junior AWS Machine Learning Engineers often encounter challenges such as managing the scalability of their models, ensuring data security and compliance in the cloud, and integrating machine learning pipelines with existing AWS services. Since production environments require high reliability, newcomers may also need to learn how to monitor model performance and troubleshoot issues using AWS tools like SageMaker and CloudWatch. Collaborating closely with data engineers and DevOps teams is essential to streamline deployment and maintain model accuracy over time.

What is the difference between Junior Aws Machine Learning vs Data Scientist?

AspectJunior Aws Machine LearningData Scientist
Required CredentialsBasic AWS certifications, entry-level ML knowledgeAdvanced degrees, certifications like AWS, data analysis skills
Work EnvironmentCloud platforms, machine learning projects, collaborative teamsData analysis, modeling, research, cross-functional teams
Employer & Industry UsageTech companies, startups, cloud service providersFinance, healthcare, tech, research institutions

Junior AWS Machine Learning roles focus on implementing ML models using AWS tools with foundational knowledge, while Data Scientists typically handle broader data analysis, modeling, and research tasks. The roles overlap in cloud-based ML work but differ in scope and experience level.

What cities near Manitowoc, WI are hiring for Junior Aws Machine Learning jobs?

Cities near Manitowoc, WI with the most Junior Aws Machine Learning job openings:

Infographic showing various Junior Aws Machine Learning job openings in Manitowoc, WI as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $91,333 per year, or $43.9 per hour.

Data, Analytics, & AI Intern

Sargento Foods

Plymouth, WI • On-site

Part-time

Retirement

Posted 12 days ago


Sargento rating

9.2

Company rating: 9.2 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

5th of 445 rated food and drinks producers


Job description

Your Story.
You are enthusiastic, a great communicator, creative, analytical, and collaborative. You seek an opportunity to expand your skills in developing data structures, data programming languages, and data governance practices. You want to learn more about transforming, enabling, and protecting data for business use - including how modern data pipelines, cloud platforms, and emerging AI capabilities support analytics, decision-making, and business outcomes.
Your Passion. Our Culture.
At Sargento, you work for a company you believe in, with a family of people who believe in you. Our culture stems from a simple premise: Hire good people and treat them like family. At Sargento, you can make decisions based on how they affect people as well as the long-term health of our company. You will be encouraged to make a meaningful difference in the community, in the company and in your career. With diverse experiences and tools to learn and develop, you can transform your aspirations into reality. If you're ready for the right place to belong and grow your career, you can find it here.
Benefits That Set Us Apart.
  • Lead and own real and relevant projects aligned with business objectives
  • Gain valuable skills and experiences to be prepared for entry level opportunities
  • Mentorship and career development to learn and grow personally and professionally
  • Volunteer in community service activities
  • Social professional networking experiences
  • Flexible work week onsite Mondays through Thursdays and optional remote Fridays; plus, half day Fridays
  • Nationally competitive compensation
  • Paid relocation and housing
  • 5 unpaid days off for interns and 10 unpaid days off for co-ops
  • 401(k) employer contribution top 1% in the nation
  • Discounts at the company cheese store and local attractions/events

Skills You Will Develop.
  • Communication
  • Critical Thinking
  • Collaboration
  • Cross-Functional
  • Professionalism
  • Leadership
  • Technology
  • Time Management

What You Do.
  • Design data visuals and concepts based on business stakeholder input.
  • Collaborate with business stakeholders to discover business needs and capture business use cases for data, analytics, and AI initiatives.
  • Build basic data models for business analytics initiatives with support from data engineers.
  • Assist in developing and testing ELT/ETL pipelines that move and transform data across cloud and on-premise systems.
  • Support data quality monitoring efforts, including identifying anomalies, gaps, and inconsistencies in datasets.
  • Develop and manage policies and best practices for proper data protection and security.
  • Support the collection of metadata information for analytics metrics and data terminology, including contributing to data catalog and lineage documentation efforts.
  • Assist in enabling business stakeholders on data, analytics, and AI tools, software, and concepts, including responsible and effective use of approved AI capabilities.
  • Support AI-related research, experimentation, and documentation efforts, including evaluating use cases, gathering business requirements, measuring value, and contributing to AI adoption and enablement activities.
  • Gain a basic understanding and work effectively in an Agile (SAFe) project management framework Assist with packaging design projects

Your Education and Qualifications.
  • Pursuing a bachelor's degree in information science, data science, information technology, computer science, artificial intelligence, machine learning, or a related field, having completed sophomore year prior to the start of internship.
  • Basic understanding of data querying and programming languages (SQL, Python) a plus.
  • Familiarity with AI tools, prompt engineering concepts, machine learning fundamentals, or generative AI technologies is a plus.
  • Familiarity with cloud platforms (AWS, Azure, or Snowflake) a plus.
  • Exposure to data pipeline or transformation tools (dbt, Matillion, or similar) a plus.
  • Experience with data visualization or business intelligence (BI) tools a plus.
  • Proficiency in MS Office.
  • Ability to communicate complex data insights in a clear and concise manner.
  • Effective communication skills with the ability to work with cross-functional teams and stakeholders.
  • Strong analytical and problem-solving skills.
  • Eagerness to learn and adapt in a fast-paced environment.
  • Curiosity about how data moves through systems and how it is structured, stored, consumed, and leveraged through analytics and AI solutions.
  • Valid driver's license, vehicle insurance, and vehicle required. There is no mass/public transit system to/from corporate housing location to company locations

Our Story.
With over 2,400 employees and net sales of $1.8 billion, Sargento Foods is a family-owned company that has been a leader in cheese for more than 70 years. We created the world's first, successful pre-packaged sliced and shredded natural cheeses. Sargento is based in Plymouth, Wisconsin, where we manufacture shredded, sliced and snack natural cheese products, as well as ingredients and sauces. Sargento is known for the exceptional quality of our products and for product design, packaging and merchandising innovations that have transformed our industry.
To learn more about our culture and values, please visit our website at https://careers.sargento.com/us/en.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

What Sargento employees say

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About Sargento

Sourced by ZipRecruiter

Industry

Food and drink manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Plymouth, WI, US

Year founded

1953