Auxo Ai

The recruitment process consisted of resume shortlisting, an online assessment, two technical interviews, and an HR round. The OA included basic ML, NLP, LLM concepts and coding questions based on strings, frequency counting, 0/1 Knapsack, and graph traversal. The first interview focused heavily on my resume, projects, and internship. I was asked to explain my projects in detail, followed by questions on RAG and its complete workflow. The interviewer then tested my fundamentals in ML, NLP and DL, including Lasso, Ridge, Ensemble Learning, Random Forest, validation and testing, K-Fold Cross Validation, tokens, embeddings, RNN, LSTM, GRU, Transformers and Attention Mechanism. SQL and DBMS questions such as joins, primary/foreign keys, CTEs and normalization were also asked. This round lasted around 45 minutes. The second interview was technical along with case-study and problem-solving questions. I was asked about TF-IDF and Knowledge Graphs, followed by business case studies involving profitability analysis and identifying reasons for a sudden decrease in profit margin. The round focused not only on reaching the answer but also on explaining the reasoning and possible solutions. This round lasted around 45–50 minutes. Overall, the interviews were strongly resume-driven, so knowing every technology, project and concept mentioned on the resume was important. The final HR round was conducted over a phone call, where the selection and compensation details were communicated.