- Loves solving real-world problems by using math & engineering
- Experienced with various Gen AI techniques: prompt engineering, RAG, fine-tuning
- Bonus: Has fine-tuned open-source models for projects
- Bonus: Has worked with agent frameworks
- Familiar with traditional machine learning techniques: eg, neighborhood, tree, kernel methods
- Familiar with exploratory data analytics: eg, use scatterplot / histogram / time plot to understand data properties, how to handle extreme or missing values
- Knows about statistical concepts & techniques: t-stats, p-value, overfitting, regularization
- Bonus: Experienced with building mathematical / statistical / computational models for real-world problems
- Familiar with inner workings of Gen AI: attention mechanism, transformer, diffusion
- Familiar with Markov decision problems & reinforcement learning
- Familiar with optimization techniques: eg, linear program, integer program
- Familiar with recommendation systems
- Experienced in software engineering: eg, has designed complex systems, can profile code to understand performance bottlenecks, has deployed software by using docker etc
