Intern QMS AI & Automation

Major accountabilities:

• Build simple AI/GenAI applications (e.g., chat assistants, document tools) using Python and low-code platforms like Copilot Studio

• Experiment with automation tools to identify and prototype practical use cases, iterating quickly based on feedback

• Prepare and process data for NLP tasks such as text classification, entity extraction, and semantic search

• Assist in configuring and testing GenAI workflows, including RAG-style integrations with internal knowledge sources

• Contribute to automation solutions using Microsoft tools (Copilot Studio, Power Platform, etc.)

• Organize and structure information, prompts, and knowledge sources to enable effective AI usage

• Run evaluations for AI solutions, collect metrics and user feedback, and support continuous improvement

• Write clean, maintainable Python code, use Git, and follow team development and review practices

• Collaborate with engineers, data scientists, and domain experts while actively participating in team discussions and demos

• Document solution designs, experiments, issues, and recommendations, ensuring knowledge is reusable across the team

Key performance indicators:

• AI Solution Delivery: Develop and demonstrate 4-6 AI/GenAI prototypes or automations addressing real business use cases during the internship period.
• Business Impact & Innovation: Identify and validate 5+ automation opportunities, delivering solutions with measurable efficiency or productivity improvements.
• Technical Quality & Compliance: Deliver well-documented, maintainable solutions following coding standards, Git practices, testing procedures, and peer review requirements.
• Collaboration & Continuous Learning: Actively contribute to team discussions, demos, and knowledge sharing while continuously building expertise in AI, automation, and Microsoft technologies.