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Entry Level Artificial Intelligence Jobs in Indiana

College job type : Entry Level Full-time. Subfunction: Not Applicable Degree level : BS Educational Program : Artificial Intelligence & Business Analytics Start date : 1st of June 2027 Job Skill ...

College job type : Entry Level Full-time. Subfunction: Not Applicable Degree level : BS Educational Program : Artificial Intelligence & Business Analytics Start date : 1st of June 2027 Job Skill ...

College job type : Entry Level Full-time. Subfunction: Not Applicable Degree level : BS Educational Program : Artificial Intelligence & Business Analytics Start date : 1st of June 2027 Job Skill ...

College job type : Entry Level Full-time. Subfunction: Not Applicable Degree level : BS Educational Program : Artificial Intelligence & Business Analytics Start date : 1st of June 2027 Job Skill ...

This position is an entry level management position. From this role, there are approximately 15 ... Please be advised that Artificial Intelligence (AI) tools may be used to support certain stages of ...

This position is an entry level management position. From this role, there are approximately 15 ... Please be advised that Artificial Intelligence (AI) tools may be used to support certain stages of ...

This position is an entry level management position. From this role, there are approximately 15 ... Please be advised that Artificial Intelligence (AI) tools may be used to support certain stages of ...

Showing results 21-40

Entry Level Artificial Intelligence information

See Indiana salary details

$20.2K

$79.7K

$180K

How much do entry level artificial intelligence jobs pay per year?

As of Aug 18, 2026, the average yearly pay for entry level artificial intelligence in Indiana is $79,715.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,559.00 and $125,147.00 per year, depending on experience, location, and employer.

What are the qualifications to get an entry level artificial intelligence job?

The qualifications necessary for an entry-level artificial intelligence job depend on the exact job that you choose to pursue. You typically need a bachelor’s degree to start in this field. Common degree paths involve various types of math, physics, robotics, cognitive science therapy, graphical modeling, engineering, Bayesian networking, and computer programming languages, science, and coding. Several skills are also helpful, such as being able to work well with others, strong communication skills, the ability to translate highly technical information, and excellent problem-solving abilities.

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

To thrive as an Entry Level Artificial Intelligence professional, you need a solid understanding of programming languages (such as Python), basic statistics, and machine learning concepts, often supported by a degree in computer science, data science, or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using data processing libraries are typically required. Analytical thinking, problem-solving abilities, and effective communication help you collaborate with teams and interpret data-driven results. These skills are crucial for building reliable AI solutions and contributing effectively to rapidly evolving projects.

What are some common challenges entry level artificial intelligence professionals face when starting their career, and how can they overcome them?

Entry-level professionals in artificial intelligence often encounter challenges such as bridging the gap between theoretical knowledge and real-world application, keeping up with the fast pace of technological advancements, and collaborating effectively within multidisciplinary teams. To overcome these hurdles, it's helpful to seek mentorship, participate in open-source projects, and continuously update your skills through online courses and workshops. Building strong communication skills will also help when working with colleagues from different backgrounds, such as data engineers, software developers, and business stakeholders.

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

AspectEntry Level Artificial IntelligenceEntry Level Data Scientist
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in CS, Statistics, or related; knowledge of data analysis
Work EnvironmentTech companies, research labs, startupsBusiness, finance, healthcare, tech firms
Industry UsageDeveloping AI models, machine learning algorithmsAnalyzing data, building predictive models
Common Search IntentEntry level AI roles, AI job requirementsEntry level data science roles, data analysis jobs

Entry Level Artificial Intelligence roles focus on developing AI models and algorithms, often requiring programming and machine learning knowledge. Entry Level Data Scientist positions involve analyzing data and creating predictive models, with overlapping skills but different focus areas. Both roles are common in tech-driven industries and require similar educational backgrounds, but they serve distinct functions within organizations.

How do I start an entry level artificial intelligence career with no experience?

To start an entry-level artificial intelligence career with no experience, focus on building foundational skills in programming languages like Python, learn key concepts such as machine learning and data analysis, and complete online courses or certifications in AI. Gaining practical experience through projects, internships, or contributing to open-source AI initiatives can also improve your prospects.

Which job to go for a beginner in artificial intelligence?

Entry-level artificial intelligence roles typically include positions such as AI intern, junior data analyst, or machine learning assistant. These jobs often require foundational skills in programming (Python or R), basic understanding of algorithms, and familiarity with tools like TensorFlow or scikit-learn, along with a relevant degree or certification. Starting in these roles provides practical experience and a pathway to more advanced AI positions.

What are the most commonly searched types of Artificial Intelligence jobs in Indiana?

The most popular types of Artificial Intelligence jobs in Indiana are:

What are popular job titles related to Entry Level Artificial Intelligence jobs in Indiana?

For Entry Level Artificial Intelligence jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Entry Level Artificial Intelligence jobs in Indiana look for?

The top searched job categories for Entry Level Artificial Intelligence jobs in Indiana are:

What cities in Indiana are hiring for Entry Level Artificial Intelligence jobs?

Cities in Indiana with the most Entry Level Artificial Intelligence job openings:

Infographic showing various Entry Level Artificial Intelligence job openings in Indiana as of August 2026, with employment types broken down into 41% Full Time, and 59% Part Time. Highlights an 100% In-person job distribution, with an average salary of $79,715 per year, or $38.3 per hour.

Software Engineer I

Cummins

Columbus, IN • On-site

Full-time

Posted 8 days ago


Cummins rating

8.0

Company rating: 8.0 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

136th of 540 rated manufacturers


Job description

Job Summary:

Build high-quality, innovative and fully performing software in compliance with coding standards and technical design. Design, modify, develop, write and implement software programming applications. Support and/or install software applications. Participate in the testing process through test review and analysis, test witnessing and certification of software.

Key Responsibilities:

Develop software solutions by studying information needs; conferring with users; studying systems flow, data usage and work processes; investigating problem areas; following the software development lifecycle; Document and demonstrate solutions; Develops flow charts, layouts and documentation Determine feasibility by evaluating analysis, problem definition, requirements, solution development and proposed solutions; Understand business needs and know how to create the tools to manage them Prepare and install solutions by determining and designing system specifications, standards and programming Participate in educational opportunities; read professional publications; maintain personal networks; participate in professional organizations Provide information by collecting, analyzing, and summarizing development and issues while protecting IT assets by keeping information confidential; Improve applications by conducting systems analysis recommending changes Define applications and their interfaces, allocate responsibilities to applications, understand solution deployment, and communicate requirements for interactions with solution context, define Nonfunctional Requirements (NFRs) Understands multiple architectures and how to apply architecture to solutions; understands programming and testing standards; understands industry standards for traditional and agile developmentCummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

College job type: Entry Level Full-time.

Subfunction: Not Applicable

Degree level: BS

Educational Program: Artificial Intelligence & Business Analytics

Start date: 1st of June 2027

Job Skill Requirements:

  • Familiarity with AWS services, APIs, databases, telemetry data flows, logging platforms, and distributed system architectures.
  • Ability to integrate and analyze data across multiple subsystems
  • Basic Understanding of prompt engineering, agent design patterns, and AI-driven decisioning systems
  • Develop and enhance full-stack applications using modern web and cloud technologies.
  • Support cloud service development, integration, and deployment activities.
  • Create and execute automated tests to validate software quality and reliability.
  • Participate in code reviews and adopt software engineering best practices.
  • Assist in monitoring, troubleshooting, and improving cloud-hosted applications.
  • Collaborate with global engineering teams on feature development and technical investigations.
  • Document solutions, technical designs, and implementation approaches.
  • Learn and apply cloud architecture, cybersecurity, DevOps, and Agile development practices.

Required Work Location: On-site with Flexibility

U.S. Early Careers Eligibility Requirements:

Exempt Entry Level: Designed for external candidates within 2 years of completing their highest level of degree (Bachelor, Master, PhD, MBA, or JD) from an accredited U.S. college/university, and currently reside within the continental U.S.

International Student Eligibility (U.S. based roles): F-1 visa students must have approved Curricular Practical Training (CPT) or Occupational Practical Training (OPT) before their Early Career assignment begin. CPT/OPT must relate to their degree and be authorized by their university. Students are responsible for securing this approval through their school's international office.

Competencies: 
Business insight - Applying knowledge of business and the marketplace to advance the organization's goals.
Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
Customer focus - Building strong customer relationships and delivering customer-centric solutions.
Global perspective - Taking a broad view when approaching issues, using a global lens.
Manages conflict - Handling conflict situations effectively, with a minimum of noise.
Agile Architecture - Designs the fundamental organization of a system embodied by its components, their relationships to each other and to the environment to guide its emergent design and evolution.
Agile Development - Uses API-First Development where requirements and solutions evolve through the collaborative effort of self-organizing and cross-functional teams and their customer(s)/end user(s) to construct high-quality, well designed technical solutions; understands and includes the Internet of Things (IoT), the Digital Mesh, and Hyper Connectivity as inputs to API-First Development so solutions are more adaptable to future trends in Agile development.
Agile Systems Thinking - Embraces a holistic approach to analysis that focuses on the way that a system's constituent parts interrelate and how systems work over time and within the context of larger systems to ensure the economic success of the solution. 
Agile Testing - Leads a cross-functional agile team with special expertise contributed by testers working at a sustainable pace, by delivering business value desired by the customer at frequent intervals to ensure the economic success of the solution.
Regulatory Risk Compliance Management - Evaluates the design and effectiveness of controls against established industry frameworks and regulations to assess adherence with legal/regulatory requirements. 
Solution Functional Fit Analysis - Composes and decomposes a system into its component parts using procedures, tools and work aides for the purpose of studying how well the component parts were designed, purchased and configured to interact holistically to meet business, technical, security, governance and compliance requirements.
Solution Modeling - Creates, designs and formulates models, diagrams and documentation using industry standards, tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements.
Values differences - Recognizing the value that different perspectives and cultures bring to an organization. 
Education, Licenses, Certifications: 
College, university, or equivalent degree in Computer Science, Engineering, or related subject, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. 
Experience: 
Experience working as a software engineer such as in a temporary student employment, intern, co-op, or other extracurricular team activities is preferred and includes working in an Agile environment and demonstrating knowledge in fundamental IT technical skill sets and ability to take a solution from scoping requirements through actual launch of the solution.


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About Cummins

Sourced by ZipRecruiter

Cummins Inc., headquartered in Columbus, IN, US, is a global power leader that designs, manufactures, and distributes numerous power products and systems. With its genesis from as early as 1919, the company readily serves diverse industries such as transportation, industrial, generator drive, or marine applications, among others. At the heart of Cummins' operations, its key product lineup encompasses diesel & natural gas engines, generator sets, engine components, and filtration, emission solutions, and electrical power generation systems. Cummins deeply embodies core values of integrity, respect for diversity, teamwork, performance excellence, and social responsibility - all of which dynamically fuel their mission 'Making people's lives better by powering a more prosperous world'.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Columbus, IN, US

Year founded

1919