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Entry Level Ai Computer Science Jobs in Minnesota

Bachelor's or Master's in Computer Science, Data Science, Engineering or related field. * 2+ years in experience in AI/ML engineering or applied data science * Prior work in construction ...

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related ... Understanding of machine learning fundamentals with a willingness to expand AI/ML implementation ...

Bachelor's or Master's in Computer Science, Data Science, Engineering or related field. * 2+ years in experience in AI/ML engineering or applied data science * Prior work in construction ...

Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science ... AI Engineer Consultant Our Deloitte Human Capital team transforms technology platforms, drives ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science ...

Advanced degree in Statistics, Computer Science, or a related field. * Familiarity with AI/ML tools and their business applications. What's in it for you We're committed to helping our people thrive ...

Senior Data Scientist

Richfield, MN · On-site

$106K - $190K/yr

Advanced degree in Statistics, Computer Science, or a related field. * Familiarity with AI/ML tools and their business applications. What's in it for you We're committed to helping our people thrive ...

Advanced degree in Statistics, Computer Science, or a related field. * Familiarity with AI/ML tools and their business applications. What's in it for you We're committed to helping our people thrive ...

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Entry Level Ai Computer Science information

What are entry level AI computer science jobs?

Entry level AI computer science jobs are positions designed for recent graduates or individuals with limited professional experience in artificial intelligence and computer science. These roles typically involve tasks such as data preprocessing, model training, testing algorithms, software development, and supporting senior engineers or researchers. Common job titles include AI Engineer, Machine Learning Engineer, Data Scientist, and AI Research Assistant. Entry level positions often require familiarity with programming languages like Python, basic knowledge of machine learning concepts, and experience working with data. These jobs provide an opportunity to build foundational skills and gain exposure to real-world AI applications.

What is the difference between Entry Level Ai Computer Science vs Data Analyst?

AspectEntry Level Ai Computer ScienceData Analyst
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in Statistics, Math, or related field; data analysis skills
Work EnvironmentTech companies, research labs, startups; focus on AI models and algorithmsBusiness, finance, healthcare; focus on interpreting data and generating reports
Employer & Industry UsageTech firms, AI startups, research institutionsCorporations, consulting firms, government agencies
Common Search & ComparisonEntry Level Ai Computer Science vs Data Analyst

Entry Level Ai Computer Science roles focus on developing AI models and algorithms, requiring programming and machine learning knowledge. Data Analysts interpret data to inform business decisions, emphasizing statistical analysis and reporting. While both roles work with data, AI roles are more technical and development-oriented, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as an Entry Level AI Computer Scientist, and why are they important?

To thrive as an Entry Level AI Computer Scientist, you need a solid understanding of programming (especially Python), algorithms, and foundational knowledge in machine learning, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data analysis tools, and knowledge of version control systems like Git are commonly expected. Strong problem-solving skills, a collaborative mindset, and eagerness to learn make a candidate stand out in this rapidly evolving field. These skills are crucial for effectively building, testing, and deploying AI models while adapting to emerging technologies and team-driven projects.

What are some typical projects or tasks an entry-level AI computer science professional might work on during their first year?

In an entry-level AI computer science role, you are likely to assist with tasks such as data preprocessing, implementing basic machine learning algorithms, and supporting model evaluation efforts. You may also contribute to developing or maintaining codebases for AI applications, preparing datasets, or running experiments under the guidance of senior team members. Collaboration is common—you’ll often work with data scientists, software engineers, and product managers to support larger projects and gain exposure to the full AI development lifecycle. These experiences provide a solid foundation for advancing to more complex responsibilities over time.
What are the most commonly searched types of Ai Computer Science jobs in Minnesota? The most popular types of Ai Computer Science jobs in Minnesota are:
What are popular job titles related to Entry Level Ai Computer Science jobs in Minnesota? For Entry Level Ai Computer Science jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Computer Science jobs in Minnesota look for? The top searched job categories for Entry Level Ai Computer Science jobs in Minnesota are:
What cities in Minnesota are hiring for Entry Level Ai Computer Science jobs? Cities in Minnesota with the most Entry Level Ai Computer Science job openings:
University of Minnesota-Twin Cities -- Software Engineer Intern 2026

University of Minnesota-Twin Cities -- Software Engineer Intern 2026

Maverick Software

Minneapolis, MN • On-site

$18/hr

Part-time

Posted 26 days ago


Job description

Join Maverick Software Consulting - Real Industry Experience While You Study!
Are you a student at the University of Minnesota, Twin Cities with a passion for software development?
Maverick Software Consulting is hiring motivated and talented students to work directly with our industry-leading clients - all while continuing your coursework.
What You'll Do: Help build and test real-world software using technologies like:
  • Java Software Development - Java, Spring Boot, Quarkus, IntelliJ IDEA, Eclipse, and related frameworks.
  • Microsoft Software Development - .NET Core, C#, Visual Studio, and cloud-based .NET solutions.
  • Web Development - HTML, CSS, JavaScript, TypeScript, React, Angular, Vue.js, and cloud-based hosting on AWS, Azure, or Google Cloud.
  • Cloud Development - AWS, Azure, Google Cloud, serverless architectures, containerization (Docker, Kubernetes), and DevOps pipelines.
  • AI & Machine Learning - TensorFlow, PyTorch, OpenAI APIs, Azure AI, AWS SageMaker, natural language processing (NLP), and computer vision applications.
  • Automated Software Testing - Selenium, Playwright, Cypress, JUnit, NUnit, Apache JMeter, AI-driven testing frameworks, and CI/CD automation.

You will be part of a software development team helping our clients develop and test their software. We'll provide training, let you set your own flexible schedule, and give you hands-on experience that employers value.
We provide training to bridge the gap between academic learning and the practical skills needed for an entry-level software engineer. You'll gain real-world experience in software development and testing-not just 'busy' work-as an integral part of our clients' teams.
See what some of our students have to say: https://www.mavericksoftware.com/students
Qualifications:
  • Current Sophomore, Junior, or Senior with at least 13 months remaining before graduation.
  • Pursuing a Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related field.
  • Availability: 20 hours per week during the school year, 40 hours per week over the summer.
  • Self-motivated, eager to learn, and enthusiastic about applying technical skills in real-world projects.