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Generative Ai Junior Jobs in Indiana (NOW HIRING)

Jj

Staff AI/ML Software Engr, Navigation

Warsaw, IN · On-site

Mentor junior AI/ML software engineers. * Drive model improvements using the latest techniques and ... AI, Generative AI, LLMs) (Big plus) * Experience with on-device and cloud-based AI/ML ...

Crowe LLP

Senior AI Engineer

South Bend, IN · On-site +1

$102K - $140K/yr

Senior AI Engineer 1 mentors junior engineers, supports cross-team collaboration, and contributes ... Research new generative AI, machine learning, and cloud technologies to evaluate applicability to ...

Crowe LLP

Senior AI Engineer

Indianapolis, IN · On-site +1

$99K - $137K/yr

Senior AI Engineer 1 mentors junior engineers, supports cross-team collaboration, and contributes ... Research new generative AI, machine learning, and cloud technologies to evaluate applicability to ...

Deloitte

Lead AI and Data Science Engineer II

Indianapolis, IN · On-site

$98K - $129K/yr

Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that ... Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing ...

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Generative Ai Junior information

What does a generative AI junior do?

A Generative AI Junior assists in developing and implementing artificial intelligence models, particularly those focused on generating content such as text, images, or music. They typically support senior engineers or data scientists by preparing datasets, running experiments, and evaluating model outputs. Their role may also include troubleshooting issues, optimizing model performance, and staying updated with the latest advancements in AI. This position is ideal for individuals starting their careers in AI and interested in hands-on experience with generative models.

What are some common challenges faced by a generative AI junior, and how can they be overcome?

As a Generative AI Junior, you may encounter challenges such as staying updated with rapidly evolving AI technologies, understanding complex machine learning frameworks, and managing the quality of generated outputs. Overcoming these hurdles often involves continuous learning through online courses and mentorship, actively participating in code reviews, and collaborating closely with senior AI engineers and data scientists. Building a habit of documenting your experiments and results can also help you track progress and learn from setbacks.

What are the key skills and qualifications needed to thrive as a generative AI junior, and why are they important?

To thrive as a Generative AI Junior, you need a solid understanding of machine learning fundamentals, basic programming skills (especially in Python), and a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, and experience using version control systems such as Git, are typically expected. Strong problem-solving abilities, eagerness to learn, and effective teamwork are crucial soft skills in this role. These competencies are vital for effectively supporting AI projects, adapting to rapidly evolving technologies, and collaborating within multidisciplinary teams.

What is the difference between Generative Ai Junior vs Data Scientist?

AspectGenerative Ai JuniorData Scientist
Required CredentialsBachelor's in CS, AI, or related field; basic understanding of MLBachelor's or higher in CS, Data Science, or related; advanced ML knowledge
Work EnvironmentTech companies, AI startups, R&D teamsData-driven organizations, tech firms, consulting
Employer & Industry UsageAI development, research projects, product teamsData analysis, predictive modeling, business insights

Generative Ai Junior roles focus on assisting in developing AI models that generate content, requiring foundational AI knowledge. Data Scientists analyze data and build models for insights. While both work in AI and data fields, Generative Ai Juniors typically have less experience and focus on generative models, whereas Data Scientists handle broader data analysis and modeling tasks.

What are the most commonly searched types of Generative Ai jobs in Indiana? The most popular types of Generative Ai jobs in Indiana are:
What are popular job titles related to Generative Ai Junior jobs in Indiana? For Generative Ai Junior jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Generative Ai Junior jobs in Indiana look for? The top searched job categories for Generative Ai Junior jobs in Indiana are:
What cities in Indiana are hiring for Generative Ai Junior jobs? Cities in Indiana with the most Generative Ai Junior job openings:
Generative Ai Junior jobs near you

Artificial Intelligence (AI) Internship - Hybrid Remote

Hoosier Energy

Bloomington, IN • Hybrid

Full-time

Re-posted 5 days ago

Job description

Are you looking to gain valuable, hands-on experience with an Artificial Intelligence (AI) internship? Hoosier Energy is offering a paid internship through August 2026 with the possibility of extension. We are seeking an organized, self-motivated college student to join our team.

The internship schedule will be Monday-Friday, up to 40 hours per week, with the days and hours being flexible based upon intern availability. Hybrid work is also an option.

Position Summary 

The AI Intern will support Hoosier Energy’s efforts to leverage artificial intelligence for operational and business efficiency. This role involves assisting with AI model evaluation, data preparation, application integration, and documentation while adhering to Hoosier Energy’s AI usage policies and governance standards. 

Key Responsibilities

  • Assist in developing and testing AI models for predictive maintenance, cybersecurity anomaly detection, and data-driven decision-making.
  • Support integration of AI tools (e.g., Microsoft Copilot, generative AI platforms) into business workflows under supervision.
  • Prepare datasets for AI training, ensuring compliance with data governance and privacy standards.
  • Document AI use cases, workflows, and risk assessments in alignment with Hoosier Energy’s AI Policy.
  • Collaborate with Technology Governance Committee on AI product assessments and vendor evaluations.
  • Monitor AI outputs for accuracy and reliability; ensure human review of all deliverables (“Human in the Loop”).
  • Research emerging AI trends and provide recommendations for safe and effective adoption.

Qualifications

  • Currently a Junior level or above college student pursuing a degree in Informatics, Artificial Intelligence, Computer Science, Computer Engineering, Data Science, Cybersecurity, or related field.
  • Familiarity with machine learning concepts, large language models, and generative AI.
  • Strong analytical and problem-solving skills; attention to detail in compliance-driven environments.
  • Basic programming skills (Python preferred) and understanding of data privacy principles.

Compliance & Ethics

  • Must adhere to Hoosier Energy’s AI Policy, including restrictions on sensitive data, intellectual property, and privacy.
  • All AI-generated work must undergo human review before finalization.

About Hoosier Energy: Hoosier Energy is a generation and transmission cooperative providing wholesale power and services to 17-member distribution cooperatives across central and southern Indiana and southeastern Illinois. Headquartered in Bloomington, Indiana, we serve over 700,000 consumers across a service area of 15,000 square miles.

Apply today to enhance your skills and take the next step in your professional development!

Hoosier Energy is an Equal Opportunity Employer and prohibits discrimination on the basis of race, color, religion, national origin, sex (including pregnancy and gender identity), sexual orientation, age, ancestry, genetic information, disability, veteran status or any other characteristic protected by federal, state or local laws.

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