Founding AI/ML Engineer
The Role: You'll build the intelligence layer of Evential's event analytics platform — the conversational AI that lets event managers query live data in natural language, and the visualization tools that turn raw BLE sensor data into actionable sponsor ROI insights. You'll set technical standards and lead the ML department as we scale.
What You'll Do
- Architect Intelligence: Design and deploy LLM-based systems (RAG) so event managers can query event analytics data in natural language.
- Data Visualization: Build dashboards making real-time event intelligence — crowd flow, booth engagement, session capacity — intuitive and beautiful.
- Full-Stack ML: Take models from a Jupyter notebook to a production-ready API on the event analytics platform.
- Strategic Leadership: Work directly with founders to define the product roadmap for Evential's AI layer.
Minimum Qualifications
- Current Purdue University (West Lafayette) undergraduate.
- Fluency in Python and core ML libraries (PyTorch, NumPy, Pandas).
- Proven track record shipping ML projects (GitHub, research, or hackathons).
Preferred Qualifications
- Major in CS, ECE, CMPE, AI, or Data Science.
- Experience fine-tuning LLMs or building RAG pipelines.
- Cloud deployment experience (AWS, GCP, or Azure) and API integration.