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Entry Level Computer Science Artificial Intelligence Jobs in Milwaukee, WI

Coursework or minor in information systems, software engineering, computer science or data and ... artificial intelligence (AI), Alteryx and Power BI, MS Office Applications including Excel ...

New

Coursework or minor in information systems, software engineering, computer science or data and ... artificial intelligence (AI), Alteryx and Power BI, MS Office Applications including Excel ...

New

Controls Engineer

Menomonee Falls, WI · On-site

$78K - $115K/yr

Design schematic diagrams, wiring diagrams, and panel layout drawings using CAD tools for control ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Emphasizes iterative design and engineering problem-solving and connects robotics to mechanical engineering, computer science, and artificial intelligence applications. * Curriculum Awareness ...

About Actalent Actalent is a global leader in engineering and sciences services and talent ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Production Chemist

Milwaukee, WI · On-site

$25 - $30/hr

About Actalent Actalent is a global leader in engineering and sciences services and talent ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

About Actalent Actalent is a global leader in engineering and sciences services and talent ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

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Entry Level Computer Science Artificial Intelligence information

See Milwaukee, WI salary details

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How much do entry level computer science artificial intelligence jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for entry level computer science artificial intelligence in Milwaukee, WI is $16.67, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $17.07 per hour, depending on experience, location, and employer.

What is an entry level computer science artificial intelligence job?

Entry Level Computer Science Artificial Intelligence jobs are positions designed for recent graduates or individuals with limited professional experience in computer science, specifically focusing on artificial intelligence (AI). These roles typically involve assisting in the development, testing, and deployment of AI models and algorithms under the guidance of more experienced engineers or data scientists. Tasks may include data preprocessing, writing code for machine learning models, evaluating model performance, and collaborating with teams to solve real-world problems using AI. Entry-level AI jobs provide an opportunity to gain practical experience, learn industry-standard tools and frameworks, and build foundational skills for a career in artificial intelligence.

What types of projects can I expect to work on as an entry level computer science artificial intelligence professional?

As an entry-level AI professional, you’ll typically contribute to projects involving data preprocessing, model training, and algorithm implementation under the guidance of senior team members. You might work on tasks like cleaning datasets, developing and testing machine learning models, and assisting in deploying AI solutions. Collaboration with software engineers, data scientists, and product managers is common, providing you with a well-rounded introduction to real-world AI development and teamwork. These projects help you build foundational skills while gaining exposure to various AI applications and industry tools.

What are the key skills and qualifications needed to thrive as an entry level computer science artificial intelligence professional?

To excel in an entry-level AI role, you need a solid understanding of computer science fundamentals, programming languages like Python, and basic knowledge of algorithms and data structures, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analysis tools, and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective teamwork set candidates apart in this field. These abilities are crucial for building robust AI solutions, adapting to technological advances, and collaborating efficiently on complex projects.

What is the difference between Entry Level Computer Science Artificial Intelligence vs Entry Level Data Science?

AspectEntry Level Computer Science Artificial IntelligenceEntry Level Data Science
Required CredentialsBachelor's in Computer Science, AI, or related fields; knowledge of programming, machine learning, and algorithmsBachelor's in Data Science, Statistics, or related fields; skills in programming, statistics, and data analysis
Work EnvironmentTech companies, research labs, startups focusing on AI applicationsBusiness, finance, healthcare, and tech firms analyzing data for insights
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in data analysis, predictive modeling, and business intelligence

Both roles require programming skills and a strong foundation in computer science. While AI focuses on developing intelligent systems and algorithms, data science emphasizes analyzing data to inform decisions. The choice depends on your interest in creating AI solutions versus extracting insights from data.

Can I get an entry level computer science artificial intelligence job with no experience?

Entry level computer science artificial intelligence positions often require some foundational knowledge in programming, algorithms, and machine learning, but many employers consider candidates with relevant coursework, personal projects, or certifications even without formal work experience. Building skills in languages like Python and tools such as TensorFlow can improve your chances, and internships or online courses can help demonstrate your abilities to employers.

Is artificial intelligence taking entry-level computer science jobs?

Entry-level computer science jobs involving artificial intelligence are growing as companies seek new talent with skills in machine learning, programming, and data analysis. However, competition remains high, and candidates often need foundational knowledge in programming languages like Python and familiarity with AI frameworks to succeed.

What are popular job titles related to Entry Level Computer Science Artificial Intelligence jobs in Milwaukee, WI?

For Entry Level Computer Science Artificial Intelligence jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Entry Level Computer Science Artificial Intelligence jobs in Milwaukee, WI look for?

The top searched job categories for Entry Level Computer Science Artificial Intelligence jobs in Milwaukee, WI are:

What cities near Milwaukee, WI are hiring for Entry Level Computer Science Artificial Intelligence jobs?

Cities near Milwaukee, WI with the most Entry Level Computer Science Artificial Intelligence job openings:

Infographic showing various Entry Level Computer Science Artificial Intelligence job openings in Milwaukee, WI as of July 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $34,680 per year, or $16.7 per hour.

Tax Intern | Summer 2028

Milwaukee, WI • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Career Level Requirement

Early Career

If you are currently pursuing college coursework or have completed a bachelor’s degree or higher in the past 12 months. If it has been more than 12 months since you have graduated from an undergraduate or graduate degree program you should explore experienced career opportunities at KPMG Careers: Experienced Professionals.

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. You are encouraged to apply expeditiously to one role for which you are qualified and is of the greatest interest. You are limited to a maximum of two active applications. Give serious thought to your location preference. We strongly recommend applying to the location where you want to build your life and career long-term.

Start Season & Year: Summer 2028

Earliest Graduation Date: Nov 2028

Latest Graduation Date: Sep 2029

At KPMG, you can become an integral part of a dynamic team at one of the top tax firms in the world. Enjoy a collaborative, future-forward culture that empowers your success. Work with KPMGs extensive network of specialists and enjoy access to our Ignition Centers, where deep industry knowledge merges with cutting-edge technologies to create innovative tax solutions. Join a diverse team helping high-profile clients understand, analyze and respond to complex business opportunities and challenges. Develop your career through a range of multifaceted engagements, formal training and informal mentoring. At KPMG, we put our culture and values front and center.

KPMG is currently seeking a Tax Intern to join our KPMG Tax practice.

Responsibilities:

  • Perform tax-related tasks, including compliance, advising and planning for a variety of clients in different industries, multistate and/or multinational enterprises including partnerships, corporations and S-corporations
  • Participate in data analytics assignments using KPMG technology, the creation of tax return work papers and tax returns for our clients and the coordination of offshore resources
  • Perform tax due diligence to identify tax exposures and opportunities
  • Assist multi-state companies with state and local tax issues including compliance, advising, planning and controversies
  • Help advise multinational enterprises on 1) business decisions, such as where to locate and operate, choice of entity, supply chain optimization and how to access and mobilize capital to fund global operations 2) tax planning decisions, including helping our clients anticipate and understand the potential short- and long-term considerations while considering a multinational tax risk profile, global effective tax rate and cash posture
  • Work as part of a multi-disciplinary team on assignments and sustain excellent client relationships
  • Build capabilities in key technologies that enable tax professionals for client service delivery such as artificial intelligence (AI), Alteryx, Power BI, and more

Qualifications:

  • Must be enrolled in an accredited college or university and pursuing the following degrees/majors: Bachelors and/or Masters in business, accounting, finance, taxation, mathematics, economics, information technology, data and analytics, engineering (financial, industrial or systems), or equivalent program
  • Preferred: Degrees and/or areas of study: Accounting and Taxation
  • Pursuing educational requirements for CPA licensure in the principal place of business (the state in which the office is located) for this position (completion of academic credits required prior to starting as a Tax Associate)
  • Upon completion of this internship, candidates must have additional academic credits to complete before obtaining their degree and/or CPA eligibility requirements
  • Completion of at least one college-level accounting course is required at the time of application
  • Preferred GPA of 3.0 or above
  • Coursework or minor in information systems, software engineering, computer science or data and analytics preferred
  • Strong in technical, business acumen, critical thinking and agility skills. Demonstrated ability to excel and drive strategic outcomes, coupled with a professional demeanor and a collaborative leadership approach, in a dynamic, evolving environment
  • Demonstrated quality service mindset, strong technical aptitude, ability to learn and navigate technologies such as artificial intelligence (AI), Alteryx and Power BI, MS Office Applications including Excel, PowerPoint, Word and Outlook and apply emerging technologies to enhance tax processes and insights
  • Excellent communication, time management and leadership skills, feedback oriented, and resourceful in delivering high quality work
  • Must reside within a reasonably commutable distance to the office for this position and be able to travel to reasonably commutable work locations using own means of transportation, such as a personal vehicle or public transportation
  • Ability to travel and/or work on-site at client premises as needed, at times with relatively short notice
  • Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.

Follow this link to obtain salary ranges by city outside of CA:

https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=UTABTSAI_8_24 California Salary Range: $74000 - $94000

KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.