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      Entrevistas en TecholutionEntrevistas para el cargo de AI/ML Engineer en TecholutionEntrevista en Techolution


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      Entrevista para AI/ML Engineer

      1 de oct de 2024
      Candidato de entrevista anónimo
      Hyderabad

      Otras evaluaciones sobre las entrevistas para el cargo de AI/ML Engineer en Techolution

      Entrevista para AI/ML Engineer

      27 de nov de 2024
      Candidato de entrevista anónimo
      Hyderabad
      Sin ofertas
      Oferta rechazada
      Experiencia positiva
      Entrevista difícil

      Solicitud

      Me postulé en línea. Acudí a una entrevista en Techolution (Hyderabad) en sept 2024

      Entrevista

      Applied on the company website - Got a call from recruiter focused on LLM and GenAI The interview consisted of Five rounds, 1 Telephonic, 2 Technical, 1 Director and final HR Round.

      Preguntas de entrevista [1]

      Pregunta 1

      1. First round: Basic questions on Projects Tech stack I used Technical questions on LLM, NLP Differences between Transformers, LSTM and RNN 2. Second Round: Have you heard of the Vanishing gradient issue? What is called a Dropout layer? How would you evaluate the transfer model? Can you name some parmenter? What technique would you use? What is called " perplexity" and "bleu score" in LLM? Do you have experience working with LSTM and CNN or RNN? Have you worked with GAN? What is called LLM Beam search? check other searches What is called context based recommender? What is called self attention mechanism? Ans LSTM What is the position encoding numbering in context on LLM? (Transfer modeling) What is called overfitting and underfitting? (Who would you overcome the scenario) What is called supervised and unSupervised learning? (Example) Have you worked with reinforcement learning? Explain Transformers Scenario based Design AI based system using Python to address the following: 1. Code Styling Detection: How would you detect and correct poor code styling 2. Security Vulnerabilities: How would you identify and fix security issues like SQL injection and XSS 3. Developer Interface: How would you design an interface for developers to review and approve AI suggestions 4. CICD Integration: How would you integrate this system into a CICD pipeline 3. Third Round: Can you explain your projects and let me know more about your skillset? Tell me more about your NLP & LLM based projects? Have you explored the latest large language models(LLMs) ? Have you fine tuned or retrained any LLMs? What LLMs have you worked with? Have you worked on any NLP related projects before LLM based on BERT or other models? Have you worked with RAG (Retrieval-Augmented Generation) pipeline? If yes, can you explain how? What is transformer architecture? Have you worked with Vector Databases? If yes, which ones have you worked with? What is hallucination in Al models? Why are you interested in Al ? How would you rate yourself in Deep Learning out of 10 ? Have you worked on model deployment on any cloud platform ? like GCP, AWS, Azure How would you rate yourself on Python out of 10? Have you worked on any Python framework? (Django, Flask, FastAPI) Preferable skills Do you have experience with full stack skillset (MERN stack)? Preferable skills What is the dependency on you right now? (Appicable to Full-timers) What is F1 score and ROC curve Find the longest increasing subsequence (LIS) in an array of integers. The longest increasing subsequence is the longest subsequence of a given sequence in which the subsequence's elements are in strictly increasing order. arr = [10, 9, 2, 5, 3, 7, 101, 18] The longest increasing subsequence is [3, 7, 101]
      Responder pregunta
      3
      Experiencia negativa
      Entrevista difícil

      Solicitud

      Me postulé en línea. El proceso tomó 2 meses. Acudí a una entrevista en Techolution (Hyderabad) en nov 2024

      Entrevista

      I had an extremely negative experience with this company’s interview process. It stretched over 4 weeks, with 4 rounds of interviews that required extensive preparation. Despite clearing all rounds with no feedback on negatives or areas for improvement and scoring well on all parameters, the process ended on a completely unprofessional note. After a month of rigorous interviews, they informed me that their client had decided to pause hiring due to a lack of ongoing projects. This could have been communicated earlier, sparing candidates time and effort. Worse, they took several days to even provide this update, demonstrating a complete lack of consideration for candidates’ time. What’s even more frustrating is their hollow claims during the process. They proudly state that they don’t negotiate salaries because they offer the “best packages” and only hire “top talent.” However, they ended up moving forward with less qualified candidates who accepted significantly lower salaries. It’s clear that their decision-making lacks consistency and transparency, and their promises don’t align with their actions. Overall, this organisation comes across as tone-deaf, poorly managed, and lacking in direction. If this is how they treat candidates during the hiring process, I can’t imagine how they operate internally.

      Preguntas de entrevista [1]

      Pregunta 1

      ML, LLM fundamentals as well as high level concepts, DSA in every round which ranged from medium to hard and were given 10-15 minutes tops
      Responder pregunta

      Entrevista para ML/AI Engineer

      14 de oct de 2024
      Candidato de entrevista anónimo
      Hyderabad
      Sin ofertas
      Experiencia negativa
      Entrevista promedio

      Solicitud

      El proceso tomó 2 semanas. Acudí a una entrevista en Techolution (Hyderabad)

      Entrevista

      Unprofessional behavior from the recruiters, after clearing 1 Screening round and 2 one Hour long Technical interviews, Coding questions on Mid level DSA in every round, HR asked me to develop a Library Management system within 2 days , But never got back with a feedback or any update regarding the next rounds

      Preguntas de entrevista [1]

      Pregunta 1

      Questions on fundamental concepts in NLP and Deep learning like Learning rate decay, Hyperparameter tuning, Word embeddings and Coding challenges involving Medium level DSA
      Responder pregunta