How To Successfully Land A Machine Learning Engineering Interview

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5 Steps to ACE Machine Learning Engineer Interview:
0:00 Introduction
As machine learning engineering roles are highly in demand, interviewing for these positions can be quite tricky. It is definitely different when compared to interviewing for software engineering roles, so in this video I will break down the 5 steps you need to take in order to successfully land the ML engineering interview.
0:42 Step 1 - Self Assessment
In step 1 It's important that you carry out a self assessment of your ML knowledge. If you want to learn machine learning, you can follow my roadmap to learn machine learning and that can be extremely useful.
1:52 Step 2 - Theoretical Test
In step 2, practice some theoretical questions, this makes up about 10% of the interview questions you will get. There are many resources online for these types of questions.
3:02 Step 3 - Practical Assessment
In step 3, look at your practical experience and do a practical assessment. What type of projects have you worked on? What kinds of frameworks/tools are you familiar with?
3:57 Step 4 - Practical Test
In step 4, prepare for practical questions, these will make up 90% of the interview. Be well prepared to answer questions on your projects and machine learning pipeline.
6:18 Step 5 - Company Specific Test
In step 5, you need to do good research on the company. Get a basic idea of what they are working with and how do they use Machine Learning. Try to see if you have some existing knowledge with the technologies they are using and be prepared to answer specific questions.
Hope this guide is super helpful, please share this video with others! Happy Learning!
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[@bilalzubair6843]

That was so helpful. Thank you Smitha for making content related to ML.

[@FarhanHussain]

Very good way to prepare for interviews!

[@KhanBhai-tt8cm]

Nice video Smitha. Your all videos are very interesting and informative

[@gulistanibadat4565]

A great video as always 👏

[@RayfuzuLearning]

This was very insightful and clearly explained. Thank you for sharing.

[@25BDominique2021]

Great video and awesome timing. I have my first interview tomorrow. I will still need to go through the process you outlined for better or worse. I feel like I definitely should have done more projects.

[@SmithaKolan]

I'm glad this was helpful! Don't worry about not having done enough projects, that's part of the process. The best thing you can do is be knowledgeable in the projects you have already done. All the best!

[@PakistaniInvestor]

Great Video Smitha

[@killzann7757]

thanks for you content!

[@chrisogonas]

Awesome! Great tips. Thanks

[@energyeve2152]

Thanks for sharing

[@krishnachaitanyavaddepally2539]

Hey Smitha, thank you for this video😊. It is very helpful. Please make a video on questions that are asked in the interview.

[@SmithaKolan]

Thanks, will do!

[@selvaganapathy4762]

Great 👍❤

[@adipurnomo5683]

That helpful sist

[@vishnurnair5556]

Hello smitha. Thanks for these informations which is very helpful for getting a successful in interview. Am currently learning about ML,DL and data science concepts and not from an IT background. Is it difficult for me to get a career in ML? and what are the skills I need to develop for entering into ML career?

[@avinashdoraiburu635]

How to make a strong foundation of probability, Statistics and calculus.. assuming I've done a bit in high school and wants to start all over.

[@ArunKumar-bp5lo]

How to get an interview ???

[@THEMATT222]

Noice, 👍

[@rafibasha4145]

First like and comment

[@rokrok27]

Pretty tech woman

[@yunxian94]

first