NISC
Intern - Software Development (AI Development)
About this role
NISC seeks an AI Development Intern to support research, development, and implementation of AI-driven solutions across the organization. You'll work with cross-functional teams on generative AI, machine learning, NLP, and intelligent automation projects while gaining hands-on experience with emerging technologies.
What you'll do
- Assist with research and development of AI-driven solutions for software development and business operations
- Collaborate with software developers, business teams, and technical stakeholders on AI initiatives
- Participate in testing and implementation of AI prototypes and solutions
- Analyze business processes to identify opportunities for intelligent automation and efficiency improvements
- Explore emerging AI technologies including generative AI, machine learning, and natural language processing
- Contribute to data analysis and solution evaluation efforts
What they're looking for
- Machine learning fundamentals
- Python or similar programming language
- Generative AI and LLM knowledge
- Data analysis capabilities
- Problem-solving and analytical thinking
- Adaptability and willingness to learn new technologies
- Communication and collaboration
- Natural language processing basics
Benefits
- Hands-on experience with cutting-edge AI technologies
- Mentorship from AI Development Team Lead
- Exposure to enterprise software development lifecycle
- Hybrid work arrangement at Cedar Rapids or Lake Saint Louis offices
- Opportunity to work on diverse AI projects tailored to interests and business needs
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NISC
NISC builds software solutions for utilities, broadband, and telecommunications companies, including provisioning systems, meter data management, and intelligent automation platforms. The company is hiring Software Developers II for full-stack development roles focused on web applications, data analytics, and emerging technologies across multiple locations.
- Website
- nisc.coop
Likely interview questions
- What experience do you have with machine learning or AI technologies, and what sparked your interest in this field?
- Describe a project where you researched and prototyped a solution—how did you approach the research phase?