There wasn’t a single question—throughout the process, I had multiple interviews and discussions with different people, covering a wide range of topics.
Modeler Interview Questions
3,574 modeler interview questions shared by candidates
Asked about I time where I had to learn something quickly and adapt it to a problem
Typical stuff like describe a time you worked on a project with others, etc.
They asked about my projects and experience in detail which I answered.
1. What ALM? 2. Difference between lookup and sum ? 3. What are combination we don’t use in formulas 4) Best practice to decrease the size of the model and efficiency 5)Size of production and development is same or not? 6)RANK function detail explanation
derive BS formula
Parlami del filtro di kalman
Technical Assessment (20 minutes) LeetCode Question: Longest Palindromic Substring Coding live where the interviewer can see your code on a shared editor. Discussion and Questions (40 minutes) Self-Introduction Project Discussion: Explain a project related to LLM LLM Creation: How is a Large Language Model created? Model Architectures: Explain the different models and their architectures (e.g., GPT, LLAMA, Falcon, BLOOM) Positional Embeddings: What is the purpose of positional embeddings? Normalization Techniques: Difference between BatchNorm and LayerNorm Retrieval-Augmented Generation (RAG): - What is RAG? Explain its purpose. - Even if you use RAG, there are hallucinations occurring. Why is this so and what can you do to mitigate? - What other current academic advancements in RAG? Explain about some frameworks that are trending. Scenario Question: If we have large-scale data (billions of records) from the web, how can I efficiently select math-related data? Discuss using distributed computing frameworks if possible.
Introduce yourself Tell about previous experiences.
Questions like my technical background, teamwork experience were asked
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