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Machine Learning Part Time information

What is a Machine Learning Part Time job?

A Machine Learning Part Time job is a role where individuals work on ML-related tasks with a flexible or reduced schedule. These roles can involve data preprocessing, model development, evaluation, or deployment, depending on the organization's needs. Part-time positions are often suitable for students, freelancers, or professionals looking to gain experience while managing other commitments. They may be remote or on-site and can vary in duration and workload.

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

To thrive as a Machine Learning Part Time professional, you need a strong foundation in statistics, programming (often Python or R), and knowledge of core machine learning algorithms, typically demonstrated through a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, Scikit-learn, or PyTorch and experience with data preprocessing tools or cloud platforms are commonly expected, and certifications like TensorFlow Developer can be beneficial. Effective communication, time management, and the ability to work independently are key soft skills for success in this role. These competencies enable you to efficiently contribute to projects, solve complex problems, and collaborate remotely or in hybrid team environments.

What are the typical responsibilities and expectations for a part-time machine learning role?

In a part-time machine learning position, you are generally expected to assist with data preprocessing, model development, and analysis of project results under the guidance of a senior data scientist or engineer. Your tasks might include cleaning datasets, coding algorithms, running experiments, and preparing reports or presentations for team meetings. The work is often project-based and requires regular communication with team members to ensure alignment on objectives and deliverables. This structure allows you to gain hands-on experience with real-world datasets and industry tools while maintaining a flexible schedule, making it ideal for students or professionals transitioning into the field.

What are the most commonly searched types of Machine Learning jobs in Wisconsin? The most popular types of Machine Learning jobs in Wisconsin are:
What are popular job titles related to Machine Learning Part Time jobs in Wisconsin? For Machine Learning Part Time jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Machine Learning Part Time jobs in Wisconsin look for? The top searched job categories for Machine Learning Part Time jobs in Wisconsin are:
Machine Learning Part Time jobs near you
Infographic showing various Machine Learning Part Time job openings in Wisconsin as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.
Part-Time General Labor - Starting wage $22/hr

Part-Time General Labor - Starting wage $22/hr

Kraft Heinz Company

Beaver Dam, WI • On-site

$22/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Kraft Heinz rating

7.0

Company rating: 7.0 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

193rd of 385 rated food and drinks producers

Job description

Part-Time Manufacturing PositionJob Description
General Laborer - Part Time
MAXIMUM 30 hours per week
Day/Evening shifts available - can be flexible with hours/days based on your needs
Starting wage $22.00/hr
Summary Statement:
The General Laborer is responsible for performing tasks to support general operations of the facility. Tasks will include, but are not limited to material handling, the loading of packaging supplies into machinery, the basic operation of cream cheese packaging/processing equipment, and equipment cleaning and sanitizing. This position must support all business systems (such as QCDSM, ISO, GMP's) while working in a team environment.
Primary responsibilities/accountabilities:
  • Load and unload items from machines, conveyors, and conveyances. Handling and Moving Objects - Using hands and arms in handling, installing, positioning, and moving materials, and manipulating things, and using your Hands to Handle, Control, or Feel Objects, Tools, or Controls while making Repetitive Motions. Performing General Physical Activities - Performing physical activities that require considerable use of your arms and legs and moving your whole body, such as climbing, lifting, balancing, walking, stooping, and handling of materials.
  • Start machines or equipment to begin production processes and Operate machinery used in the production process or assist machine operators. Prepare raw materials for processing, dumping materials such as prepared ingredients into machine hoppers prior to mixing. Lifting raw materials, finished products, and packed items, manually or using manual or powered lifts.
  • Transfer finished products, raw materials, tools, or equipment between storage and work areas of plants and warehouses, by hand or using hand trucks or powered lift trucks.
  • Responsible for conducting and documenting quality checks within the required structure such as weight control records, code date check sheets, etc. Record information, such as the number of products tested, meter readings, or dates and times of product production, read gauges or charts, and record data acquired.
  • Remove products, machine attachments, or waste material from machines. Clean and lubricate equipment, wash work areas, machines, equipment, vehicles, or products.
  • Break up defective products for reprocessing. Peeling rework and run through the salvage press for continuous hours of your shift.
  • Perform all other duties as assigned by the Supervisor or Team Leader
  • Responsible to follow FSQ requirements such as GMPs and other daily/job specific duties to support QRMP. Examine products to verify conformance to quality standards, while following all company established safety policies and procedures! (Wearing Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats!)
  • Getting Information - Observing, receiving, and otherwise acquiring information from all relevant sources and then Communicating with Supervisors and Peers - Providing information to supervisors, and co-workers by telephone, in written form, or in person.
  • Inspecting equipment, structures, or materials to identify the cause of errors or other problems or defects. Making Decisions and Solving Problems - Analyzing information and evaluating results to choose the best solution and tackle problems.
  • Operating Vehicles, Mechanized Devices, or Equipment - Running, maneuvering, navigating, or driving vehicles or mechanized equipment, such as forklifts and electric pallet jacks.
  • Establishing and Maintaining Interpersonal Relationships - Developing constructive and harmonious working relationships with others and maintaining them over time.

Work Environment/Physical Requirements:
  • Work is performed indoors around industrial equipment in varying temperatures and the pace is determined by the speed of the equipment. Some extended hours on each shift along with some weekends and holidays. The positions will require periods of standing, walking, bending, and twisting. Must possess the ability to lift up to 50 pounds occasionally. The ability to use hands to handle, control, or feel objects, tools or controls is required in order to perform job duties efficiently and safely.

Benefits: Coverage for employees (and their eligible dependents) through affordable access to healthcare, protection, and saving for the future, we offer plans tailored to meet you and your family's needs. Coverage for benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.
Wellbeing: We offer events, resources, and learning opportunities that inspire a physical, social, emotional, and financial well-being lifestyle for our employees and their families.
You'll be able to participate in a variety of benefits and wellbeing programs that may vary by role, country, region, union status, and other employment status factors, for example:
  • Physical - Medical, Prescription Drug, Dental, Vision, Screenings/Assessments
  • Social - Paid Time Off, Company Holidays, Leave of Absence, Recognition, Training
  • Emotional - Employee Assistance Program , Wellbeing Programs, Family Support Programs
  • Financial - 401k, Life, Accidental Death & Dismemberment, Disability

Location(s)
Beaver Dam Plant
Kraft Heinz is an Equal Opportunity Employer that prohibits discrimination or harassment of any type. All qualified applicants are considered for employment without regard to race, color, national origin, age, sex, sexual orientation, gender, gender identity or expression, disability status, protected veteran status, or any other characteristic protected by law. Applicants who require an accommodation to participate in the job application or hiring process should contact NAZTAOps@kraftheinz.com

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