Victor sits down with Will Sentance for a candid conversation about the AI/ML tech market. What we love about Victor’s story is that it is a rough, hard and challenging one. Faced with a series of major setbacks, one which many people in tech right now can relate to, Victor used these challenging moments while job hunting as a golden opportunity for growth.

If you’re a fresh new graduate looking to improve your prospect in the job market, or a software engineer looking to improve your AI and ML skills, then watch this video to learn how you may overcome the challenged of getting there

💬 Have a question or want to see more content like this? Let us know in the comments below! ✅ Click here to subscribe to Codesmith now!
/ @codesmith

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Our full time and part time immersive program is designed for brilliant people who want to break into tech.

We have just released our stand alone AI/ML Booster pack (made by experts in the field) find out more at:

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Welcome to the official YouTube channel for Codesmith! As an independent tech school, Codesmith has led in outcomes within the tech bootcamp industry for many years. Our barrier to entry is high and we deeply care about each and every student. Part of that dedication is ensuring our curriculum and pedagogy is both timeless but relevant while providing as much free content and educational material that we can. Our channel is focused on featuring some of the brightest engineers in tech as well as content exploring tech, the future of work and AI/ML.

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#techmarket #tech #tiktok #mljobs

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TIMESTAMPS

00:00-01:23 – Intro
01:23-01:47 – Why a Computer Science grad chose Codesmith
01:47-02:40 – Daily Life as ML Engineer at TikTok:
02:40-03:59 – Breaking down TikTok Live Feature Behind The Scenes
03:59-04:53 – Why TikTok Feels like a Startup
04:53-08:30 – Day in the life at Tiktok
08:30-09:25 – What IS an MLE in tech today?
09:25-12:06 – From Failing Startup To Codesmith
12:06-13:44 – Codesmith’s Hard Learning / Self Study Focus Took Victor From SWE to MLE
13:45-16:07 – How To Transition From SWE to MLE
16:08-17:16 – Finding Motivation in hard market
17:17-18:59 – Building ML Products For Portfolio
19:00-23:18 – Future of MLE Hiring
23:19-23:45 – Outro

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