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I applied via Recruitment Consulltant and was interviewed before Feb 2022. There were 2 interview rounds.
I applied via Referral and was interviewed in Dec 2020. There was 1 interview round.
I applied via Recruitment Consultant and was interviewed before Sep 2020. There were 3 interview rounds.
Yes, I am familiar with i3ms erp work.
I have experience working with i3ms erp system in my previous role.
I am familiar with the features and functionalities of i3ms erp system.
I have received training on i3ms erp system and can navigate it with ease.
I understand how i3ms erp system can be used to streamline supply chain operations.
I applied via Walk-in and was interviewed in Mar 2021. There was 1 interview round.
Indian Metals interview questions for popular designations
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I applied via Referral and was interviewed in Dec 2024. There were 2 interview rounds.
posted on 19 Dec 2024
I applied via Campus Placement and was interviewed in Nov 2024. There were 3 interview rounds.
The hardest round I have experienced during interviews was ultimately successful, as I was selected. Only a few questions were multiple-choice; the rest required one-word or numerical answers to be written manually. Pay special attention to the last portion, as it was a scoring section containing standard technical questions. However, as we begin the assessment, the majority of the time is consumed by reasoning, arithmetic, and similar topics. In summary, I can say that the initial part is the toughest.
I applied via Monster and was interviewed in Dec 2024. There were 4 interview rounds.
Polymorphism allows objects of different classes to be treated as objects of a common superclass. Generators produce items one at a time. Decorators add functionality to existing functions or methods.
Polymorphism: Enables objects of different classes to be treated as objects of a common superclass. Example: Animal superclass with Dog and Cat subclasses.
Generator: Produces items one at a time, allowing for efficient mem...
Embeddings are a way to represent words or phrases as vectors in a high-dimensional space, capturing semantic relationships.
Embeddings are important for tasks like natural language processing, where words need to be represented in a meaningful way.
They can be created using techniques like Word2Vec, GloVe, or using neural networks like Word Embeddings.
Embeddings help in capturing semantic relationships between words, al...
Encoder-decoder is a neural network architecture used for tasks like machine translation.
Encoder processes input data and generates a fixed-length representation
Decoder uses the representation to generate output sequence
Example: Seq2Seq model for translating English to French
I applied via Approached by Company and was interviewed in Dec 2024. There were 2 interview rounds.
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