Enhancing AI literacy across the company and developing AI-driven applications to improve business processes.
Requirements
- Foundational understanding of machine learning and AI concepts.
- Completion of coursework or projects in areas like algorithms, data mining, machine learning, or artificial intelligence.
- Enthusiasm for generative AI and LLMs – you stay curious about tools like ChatGPT or Copilot and how they work.
- Proficiency in at least one programming language commonly used in AI, preferably Python (knowledge of R or Java is also acceptable).
- Ability to write clean, efficient code and use libraries for data analysis or machine learning (pandas, scikit-learn, etc.).
- Strong analytical thinking to break down problems and an innovative mindset to devise AI-driven solutions.
- Comfortable working with data (data analysis, basic statistics) to support model development and evaluation.
Responsibilities
- Work on the design, development, and testing of generative AI solutions.
- Helping build internal AI agents (e.g. chatbots or Copilot-based assistants) that address specific business use cases.
- Assist in integrating Microsoft 365 Copilot features into team workflows and applications.
- Conduct exploratory research on emerging AI technologies (libraries, models, APIs) and prototype simple applications to evaluate their potential value.
- Assist with preparing datasets, writing prompts, or tuning models for AI projects.
- Ensure data quality and experiment with model parameters or prompt engineering to improve AI agent performance.
- Gather requirements from stakeholders and help implement AI-driven improvements in their workflows, under guidance from senior team members.
Other
- Create training materials, tutorials, and hands-on demo sessions to educate colleagues about AI tools and practices.
- Work with cross-functional teams (IT, business units, etc.) to identify pain points that AI could solve.
- Document your project work and learnings.
- Prepare summary reports or presentations to update stakeholders on project progress.
- Present your AI project outcomes and share recommendations for further AI adoption within the organization.
