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Internship Ai Computer Science Jobs in Indiana (NOW HIRING)

Vergence

Senior AI/ML Engineer

Bedford, IN · On-site

$93K - $128K/yr

Bachelor's degree in Computer Science, Engineering, or related technical discipline (Master's preferred). * 10+ years of progressive experience in AI/ML engineering, software development, or applied ...

Cisco

Applied AI Scientist

Indianapolis, IN

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Master Degree in Computer Science, or related quantitative field, plus 2+ years of industry ...

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Internship Ai Computer Science information

What is an AI Computer Science internship?

An AI Computer Science internship is a temporary position for students or recent graduates to gain hands-on experience working with artificial intelligence technologies and computer science concepts. Interns typically work on real-world projects involving machine learning, data analysis, programming, and algorithm development. These internships help build practical skills, expand professional networks, and often serve as a stepping stone to full-time jobs in the tech industry.

What are the key skills and qualifications needed to thrive as an AI Computer Science intern?

To thrive as an AI Computer Science Intern, you need a solid understanding of programming languages (such as Python or Java), data structures, algorithms, and foundational AI concepts, typically supported by ongoing or completed studies in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems (such as Git), and data analysis tools is highly beneficial. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills help interns stand out. These skills and qualities are crucial for contributing to complex AI projects, adapting to new technologies, and collaborating effectively within technical teams.

What types of projects can I expect to work on during an AI Computer Science internship?

As an AI Computer Science intern, you can expect to work on projects such as developing machine learning models, analyzing large datasets, assisting with algorithm optimization, or contributing to research on natural language processing or computer vision. Interns often collaborate with cross-functional teams including data scientists, software engineers, and product managers. The work environment is typically fast-paced and encourages learning, experimentation, and regular feedback. You'll have opportunities to present your findings, participate in code reviews, and attend team meetings, helping you build both technical and professional skills.

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Internship Ai Computer Science jobs near you

Data Scientist - AI & Agentic Solutions

Graham Allen Partners

South Bend, IN • On-site

Full-time

Re-posted 4 days ago

Job description

Location
South Bend, IN - Hybrid
Type
Full-time
Travel
Occasional, client-dependent
Level
Senior Individual Contributor
About the Role
Aunalytics is a data and AI company. We build the data foundation that makes AI work in the real world, and we pair that technology with the hands-on expertise and guidance our clients need to see business impact. We apply our data and AI approach to IT services and to financial institutions. With well over a decade of experience, a proprietary platform, and a team of data scientists, engineers, and industry experts, we're a trusted partner for midsized businesses across the U.S. We're headquartered in South Bend, IN with offices in Michigan, Ohio, and New Jersey. If you want to do meaningful work at a company where your contributions move the needle for clients, for the business, and for the team around you, you'll fit right in here.
What You'll Do
  • Partner with client leadership teams to identify where AI and AI agents can grow revenue, automate work, and improve customer experience
  • Make data AI-ready - integrate and cleanse disparate data into a foundation that models and agents can use
  • Design, build, and deploy machine learning, generative AI, and agentic workflows (from customer intelligence and lead prioritization to automating manual processes)
  • Build proofs-of-concept and production-ready solutions on the Aunalytics data platform and cloud, integrated with client systems
  • Advise on AI strategy - feasibility, risk, sequencing, and expected ROI - in language leadership can act on.
  • Define success metrics and measure impact, then iterate based on real-world results
  • Communicate clearly to both technical and non-technical audiences, from analysts to the C-suite
  • Handle regulated data responsibly, in line with client compliance requirements (SOC 2, PCI, GLBA, and HIPAA where applicable)
  • Stay current on the fast-moving AI, LLM, and agent landscape, and bring the best of it to engagements

What You'll Bring
Required
  • A PhD in a quantitative field (Computer Science, Statistics, Data Science, Engineering, or similar) - preferred; OR a Master's degree in a related field plus 5+ years of applied data science experience
  • Strong applied machine learning skills and fluency in Python and common data science / ML libraries
  • Hands-on experience with LLMs and agentic / generative AI - building real applications with techniques like RAG, prompt engineering, agent frameworks, and orchestration
  • A track record of taking problems from ambiguity to deployed solution, not just prototypes
  • Excellent communication and stakeholder skills - you're comfortable advising and influencing senior leaders
  • Comfort juggling multiple concurrent engagements and shifting context between clients

Nice to Have
  • Prior consulting or client-facing experience.
  • Working knowledge of data governance and compliance frameworks (SOC 2, PCI, GLBA, HIPAA)

Why Aunalytics
  • Real impact. Your work directly shapes how multiple purpose-driven, midsized organizations operate and grow.
  • Variety. Different clients, different problems - you work alongside data scientists and industry experts, not in a silo.
  • Frontier work. Applied AI and agents in real, regulated production environments
  • Purpose and community. A South Bend-rooted company that believes an inclusive, diverse team does the best work
Skills & Requirements Qualifications

Apply