Unternehmen nehmen die Dienste von Machine Learning Engineers in Anspruch, um Systeme zu entwerfen und zu optimieren, mit denen sich ihre Software selbstständig verbessern kann, statt speziell programmiert werden zu müssen. Stellen Sie sich darauf ein, dass während des Vorstellungsgesprächs Ihr Wissen in den Bereichen Informatik und Data Science abgefragt wird. Dabei wird der Schwerpunkt im Zweifelsfall auf dem Erkennen von Mustern und Trends liegen. Erforderlich ist ein Bachelor-Abschluss in Informatik oder einem verwandten Fachgebiet.
- live coding: write a python script to parse a log file, strip, splitting on string. Use of dictionary to aggregate data. Writing a automated test for the aforementioned code - lead software questions: "Why do you like python?", "Talk me about your projects", "What experience you have with CI?", etc...
General ML and DL questions.
They asked me to pick an ML model and asked detailed questions about it
3) How do you handle missing data (scenario W.R.Y cancer data)
2) What is Vanishing Gradient and how it works?
CNN - final size of an image after passing through a 3x3 filter without padding Activation function Loss function Gradient descent Decision Tree and Random Forest
Pseudo code for email validation
Asked to write out machine learning basics
For the first round:- 1. What is your name 2. Number of projects done, not even ask what I've done on those projects. Just number 3. Expected CTC
Most of the question were from Resume and past experience. They also shared a problem that they were working on and asked me to share my thoughts on how I would go about it.
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