Moumita is an exceptional AI/Machine learning scientist at Netflix. Her UA-cam video showcases her passion for the field and her dedication to educating students. With a strong mathematical foundation and a PhD in AI, she provides valuable insights into decision-making and the essential skills for AI jobs. Her ability to design AI-based biological models demonstrates her expertise and interdisciplinary approach. Moumita's informative interview sheds light on AI and her commitment to sharing knowledge is commendable. She is truly an asset to our family.
@@namanarora1077 dude he might be her father even if he has written this using AI, I guess in this context you need to improve your EI(Emotional Intelligence)
I am a college dropout but i started learning Data science & Machine learning via Udemy & youtube after creating a roadmap for the route through which i need to go..Hopeful that i will succeed in the journey!!!!
To be honest, thank God for online Masters in Comp Sci that have concentrations in AI/ML (most notably Georgia Tech, University of Illinois Urbana-Champaign, and University of Texas Austin). Whlst this will never equal getting a Ph.D., you will definitely have a strong ML background upon completing these programs.
I'm majoring in cs and stats. Will the stats degree have a significant enough impact to get me in or will I have to put some time into other things too
Statistics is the foundation of AI because you need to measure how good the model is. The models mostly predict probability distributions, so the models are stochastic as well. It's the core of AI besides calculus of partial derivatives.
Wow, SmythOS really sounds like a game changer for anyone looking to streamline their workflow! I love the idea of being able to seamlessly manage complex processes without the coding headache.
"I am a newbie in the field of tech and will be entering university next year in 2025. What approach to learning should I take to serve as a booster when I eventually secure my admission? I don't have strong computer skills and will be starting from scratch, but I have a deep love for physics, mathematics, and further mathematics. These courses spark my curiosity and drive me to find solutions to problems, creating enjoyable moments for scholars like me. I am particularly fascinated by AI and its impact on individuals like me. I admire the career path of becoming an AI Engineer." "Once I complete my BSc in Nigeria as a software engineer, how feasible is it to secure a scholarship to pursue my master's degree in the USA? What factors should I consider when applying for scholarships?"
Hi, I started following you today. I am a mechanical engineer. I want to be an ML engineer. I have been reading up articles and I also binged your videos. I know you spoke about Chat gpt to aid this process, but I would love to get a free course that you recommend personally as I follow your road map. I just started Phyton recently and I totally agree with your idea of building projects. I would be honored to speak with you privately to get close guidance in this journey of mine. Thank you
Same Here Recently graduated in mechanical engineering 2024 And I want to become an Ai engineer And also thinking of starting with python Let's communicate and wish we can help each other in our journies And Im going to do master in Ai in usa
Im a high school student and to be fair,im entering my last year of high school.I have no experience in coding/programming and im an absolute beginner in computer science (emphasis on absolute).I watched another video of yours and it explained how its very hard and competitive as a job,and that its difficult to even find a job,and honestly to me that was extremely intimidating and overwhelming.What do you suggest i do? Quite frankly,i dont know wether i like this field and job,im only interested because throughout my life ive been decent at math and i dont hate it like most people do,that and the fact that it offers good pay.What should i do now? Should i begin learning some programming language (my friend suggested i learned web development to maybe have a small lead or an idea of whats to come in uni after this year).Or should i pursue another career/job option inside the field of Computer science?What tips do you have for someone like me,who as of now doesnt have any experience in coding or anything like that,and quite frankly made it through school mostly through logic and tutoring rather than actual hard work and organised studying?(not that im some genius who didnt work at all,cuz obviously im nowhere near to that,but ive always been told i have knack for stuff like that and to be fair i didnt face much challenges in school,that and coupled with the fact that ive always been tutored/on courses since young,made me really not accostumed to any study/work routines)
...so I am in Graphic Design but I am stuck as what decision to make. I would like just to expand my skills without completely leaving my current career. But would like to be able to build ML models that can be applied in my career, what's the best course to enrol for? I realised there are a lot of fake learning gigs online since last year and they lecturers themselves cannot even build a ML model that works...
Hey bro!!! What are you into now? Are you learning the skills in machine learning? Actually I'm also a graphic designer and I started to feel like ai will overcome us in graphic design. So I've decided to pursue my career in ai engineering as I feel like ai industry is gonna affect each and every industry. Whether it be 2d or 3d designing or editing or whatsoever. So I was also stuck at which career I should choose that shouldn't be affected by the advancement of ai tech. So I've decided to study ai engineering itself. Or atleast something related to the ai industry. So what are your perspectives? What are your plans?
Is there a roadmap on how to transition into an AI/ML role? I’m currently an integration engineer with ~6 years of technical experience but the roles I find seem like they’re looking for more senior engineers with 10+ years of experience.
Valuable advices for the begginers! We also see much perspectives in ML engineering. In our last video our colleague who is a Machine Learning Engineer explained his job through an example of the latest AI project he completed at Jelvix. He even shared his work schedule Also quite handy to know before you start learning
I am undergraduate student of AI . I want to do MS in Data science but i am still very confused. Can anyone help me in selecting the field for masters.
This can’t be answered in one sentence. Feel free to join my free LinkedIn events where I answer all questions from the audience. www.linkedin.com/events/softwareengineeringcareersinthe7220148027842289664/comments/
hey I had a few question 1)Can I from a non IT background pivot in this field if I am ready to work hard? 2) Are there any masters courses in the US to pursue in AI/ML?
I have done mechanical engineering in my Undergrad, will doing Masters in Robotics in UK or US could help me to get a job as a Machine learning or Deep learning engineer?
Hey, thank you for the informative video. Although i have a different type of question. I am from Physics Background. i am about to complete my phD in physics. i have good enough background in mathematics. now after completeing PHD i want to shift my carreer from physics to AI. so how can i do that? I was thinking of doing Post Graduate Diploma in AI for. pLease suggest me. thank you.
tnx for info.... can u help me understand the differencebetween there two Artificial Intelligence & artificial intelligence solution !!?? cuz i want to choose a university bachelor's degree??? and what do you think i should learn?? ML /// deep learning/// python //data analyst //data science...... ???? TNX
gee i wonder how she got a job ai engineering with a phd daa. like your hair! i think i just want to do fun projects on youtube. they want to many software skills now.
Thank you. I am trying to learn some coding languages for my college classes right now. I’m so far behind but I know this is my passion. I feel like it’s so much to learn in so little time. What would you recommend as an entry level job for a programming and analysis degree? Looking to plant my seed before I graduate. Tia❤
I don't think for AI and ml... I have very good knowledge of Salesforce administration and development ongoing.... My preference right now with Salesforce................... Ai right now not developed.. It takes years of time may be after 1 decade we will see the ai job market rise in World.. Right now innovation phase ongoing................
AI or Reversed Cramer Equations System, after 25 years i don’t see any progress __new concept__, it s just increase number of equations to billions and use multi-cores processors, what i mean, we need revolution.
My observation is most people who work in AI/ML or mathematical worked with healthcare data to begin with and then moved into different industries as Data scientists.
bro this is very generic advice. i wanted to know what tools to use? whether to go towards computer vision, or due to emerging trend go towards large language models. which ml/ai vertical (cv, nlp, rl, etc) is being used by majority of the companies. being an ml engineer requires you to know about mlops stuff. so do we use the cloud based services that come with integrated solutions for building ml pipelines or do we lean onto learning opensource tools for each of the stages of mlops - mlflow for model/data tracking, kubeflow for deployment and orchestration, airflow for managing the ml project. what you discussed in the video is a generic advice to somebody who wants to do data stuff (data scientist, data engineer). ml engineer is a very specific role which requires to put ml knowledge into applications that are catered for users at scale. i am disappointed with this video. didn't help me much. thanks regardless.
It’s cool that she has a PhD but I was expecting a more realistic answer to this question of how to become an ML engineer. I think out of the people who are looking to do this path, most of us will not pursue a PhD.
it sorta seems like you're in denial about the requirements for some of these positions going forward. even though some people claim self-taught is ok, it likely isn't at this point. everything i've read says you'll likely need an advanced degree. it just sounds like you don't want to accept this reality.
You don't need a PhD for a ML engineer job, instead you need a lot of experience in data analysis, or software engineer. She's an IA Scientist, and in order to do research you do need a PhD, she's just lying in some questions bc she doesn't know about applied roles in industry
@@orangemoonglows2692 ive seen a lot of openings that do not ask for a PhD but okay. Also its very unrealistic to think that machine learning engineering is only PhD graduates. It’s an applied role and likely not all PhD students are also going to do specifically a data science degree. A lot of people can fit the criteria without a PhD if you isolate the skills needed. That’s basically the entire field of software engineering nowadays.
@@climbersisyphus i actually wasn't thinking in terms of needing a phd in general. however, i do think that ai is in the building phase. as with the early internet/phone builds/tech, etc. these things were created by people who were highly educated, not self-taught. i also think that nobody really knows the types of jobs you can do in ai because isn't truly developed, just like nobody knew what would follow with the internet/www. finally, 73% of software engineers have a bachelors degree.
Advice from a top 1% machine learning engineer emphasizes the importance of continuous learning and hands-on experience. Focus on mastering core algorithms, stay updated with the latest research, and work on diverse projects to build practical skills. Smythos provides valuable resources and guidance to help you implement this advice and excel in the field.
I don't think it makes her a "top 1% AI engineer" which is a bullshit definition, but she is clearly a pretty good researcher, according to the number of papers she has and the impact of the work. I would say to 10% PhD kinda recent grad (5 years after+-). Overall, pretty impressive work :) But in all honesty, it is not simple to call someone a top 1% something in competitive fields. Only the top 0.001% in ML are clearly top 1%.
@@tunde6747 I listened to samples of the audio track in the above video again to ensure it wasn't an issue with playback on my end. It isn't. The audio track is filled with reverberations from beginning to end. This is due to the room in which the audio was recorded being unsuitable for use as a studio. There is nothing on the bare walls to prevent sounds from echoing, which is what I hear. I owned a music studio from 2007 to 2012 so I have a bit of experience in this area. Fun times, but a great way to lose a lot of money.
I think the biggest problem I see is people conflating ML engineer and AI engineer. The former has a background in machine learning and the latter has a background in anything and is just using LLM APIs.
i feel sorry for the next gen. It was already a large barrier to get into tech for young milennials. Gen Z and Gen Alpha are going to have to dig in very deep to even get an entry level job
Don't forget that time is not stagnant, those that are there now will shift due to age or so.. They won't be there forever, which will create rooms for people coming
regarding tools, dumbing down of society: driven people, people who appreciate making things and how things are made, will be smarter and more enlightened. However many people are not interested in such so they just waste their time on indulgences. That is why there's the saying 'smart phones make dumb people.' It's easy to think that in our engineer world bubble others are like us, but the average literacy rate has dropped dramatically since smart phones. Hence the premise of the movie Idiocracy
one misleading thing about this video is : most people doing ML are not not into research but doing office jobs. Data manipulation techniques like SQL are more important that going too deep into ML algos. A recruiter will rather hire a backend engineer with good data manipulation skills than a ML algo expert.
Perfect indian pushed into engineering while chinese will build models and do data science. She will be in IT and not allowed in data science departments unfortunate.
@shreyanksingh7122 the data science market is dominated by Chinese. Because Chinese hire Chinese and white Americans think their country is competing with China in AI. So brown people get pushed into IT. If you are indian you will have a hard time finding data science jobs in America.
@@tunde6747no really there were not many insightful things in this podcast. Everything felt really generic. Listen to Lex Fridman podcasts you will know the difference.
Nah, sounds like she's just a researcher, and she's talking about ML engineer, they're not the same field but she still talks like they're the same. She doesn't even know what role is talking about so her advice are very basic and kinda silly
📌 FREE Study Plan to Learn AI/ML Engineering FAST with ChatGPT
www.exaltitude.io?
These are the types of experts we should be listening to. Super insightful look at AI and what we need to evolve in the field. 👏🏽
Moumita is an exceptional AI/Machine learning scientist at Netflix. Her UA-cam video showcases her passion for the field and her dedication to educating students. With a strong mathematical foundation and a PhD in AI, she provides valuable insights into decision-making and the essential skills for AI jobs. Her ability to design AI-based biological models demonstrates her expertise and interdisciplinary approach. Moumita's informative interview sheds light on AI and her commitment to sharing knowledge is commendable. She is truly an asset to our family.
She is from a Indian Bengali family, right?
@@AsifSaifuddinAuvipy obviously
using AI to write this?
@@namanarora1077 😐
@@namanarora1077 dude he might be her father even if he has written this using AI, I guess in this context you need to improve your EI(Emotional Intelligence)
I started watching you from EO interview. You are providing valuable information. I'm thankful to you 😊
I appreciate that!
Moumita is so humble! Mad respect for her!
I am a college dropout but i started learning Data science & Machine learning via Udemy & youtube after creating a roadmap for the route through which i need to go..Hopeful that i will succeed in the journey!!!!
Yes you will best of luck
@@gauribhutada4752 Thnx a response from someone like you makes me feel more confident!!!
To be honest, thank God for online Masters in Comp Sci that have concentrations in AI/ML (most notably Georgia Tech, University of Illinois Urbana-Champaign, and University of Texas Austin). Whlst this will never equal getting a Ph.D., you will definitely have a strong ML background upon completing these programs.
Great video! Thank you so much for the insights
Thanks Jean. Need these kind of informative videos. Amazing.
Glad it was helpful!
Exaltitude never fails to deliver best content
Love your content, Grateful !
nmixxxx
OMG I thought she is 21 or something when I first saw her. Thanks for the interview !
Best English teacher ❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤
This is one of the best content I have seen about preparing for a career as a MLE. Thank you Jean for sharing this with us!
Glad it was helpful!
She reached the peak where few can reach
Still a slave to CEO
@@MM6700-o4wA slave making a huge six figure salary and properly living an easier and better life than 99% of Americans. Yeah the horror.
@@MM6700-o4wnahh bro, she is praised by ceo
Wow thanks to both of you intelligent ladies❤️
I send a thanks to both of you wonderful ladies for this amazing interview. You are both top-tier in my book.
Thanks Jean, thanks to your guest Moumita Bhattacharya for inspirative and interesting interview that placed some light on this great topic of AI/ML.
Moumita seems to be a wonderful person. I hope to learn ML well and become an ML engineer soon! thank you, your video showed up on my feed.
Best of luck! Yes Moumita is great!
@@exaltitude thank you
great vid!! very helpful
keep up the great content
Thanks!
Great interview!
I'm majoring in cs and stats. Will the stats degree have a significant enough impact to get me in or will I have to put some time into other things too
Statistics is the foundation of AI because you need to measure how good the model is. The models mostly predict probability distributions, so the models are stochastic as well. It's the core of AI besides calculus of partial derivatives.
Best teacher ❤ I am student in Pakistan
W Exaltitude
Wow, SmythOS really sounds like a game changer for anyone looking to streamline their workflow! I love the idea of being able to seamlessly manage complex processes without the coding headache.
Great interview, it’s super helpful 😊
Glad it was helpful!
"I am a newbie in the field of tech and will be entering university next year in 2025. What approach to learning should I take to serve as a booster when I eventually secure my admission? I don't have strong computer skills and will be starting from scratch, but I have a deep love for physics, mathematics, and further mathematics. These courses spark my curiosity and drive me to find solutions to problems, creating enjoyable moments for scholars like me. I am particularly fascinated by AI and its impact on individuals like me. I admire the career path of becoming an AI Engineer."
"Once I complete my BSc in Nigeria as a software engineer, how feasible is it to secure a scholarship to pursue my master's degree in the USA? What factors should I consider when applying for scholarships?"
Can someone with a low CGPA be good machine learning engineer or AI engineer?
How do you determine what is a 1% vs. say a 5% MLE? I am sure I will disappointed by the answer.
because she said so apparently
Super helpful !!
Glad it was helpful!
Hi, I started following you today. I am a mechanical engineer. I want to be an ML engineer. I have been reading up articles and I also binged your videos. I know you spoke about Chat gpt to aid this process, but I would love to get a free course that you recommend personally as I follow your road map.
I just started Phyton recently and I totally agree with your idea of building projects. I would be honored to speak with you privately to get close guidance in this journey of mine. Thank you
Same
Here
Recently graduated in mechanical engineering 2024
And I want to become an Ai engineer
And also thinking of starting with python
Let's communicate and wish we can help each other in our journies
And Im going to do master in Ai in usa
Pls, does it literally mean that a software engineer can't work as a MLE.
Hey, dude, Python may commit suicide when it sees your spelling.😜
Awesome content and valuable insights... Thank u❤
Wonderful podcast.
Thanks for watching!
Im a high school student and to be fair,im entering my last year of high school.I have no experience in coding/programming and im an absolute beginner in computer science (emphasis on absolute).I watched another video of yours and it explained how its very hard and competitive as a job,and that its difficult to even find a job,and honestly to me that was extremely intimidating and overwhelming.What do you suggest i do? Quite frankly,i dont know wether i like this field and job,im only interested because throughout my life ive been decent at math and i dont hate it like most people do,that and the fact that it offers good pay.What should i do now? Should i begin learning some programming language (my friend suggested i learned web development to maybe have a small lead or an idea of whats to come in uni after this year).Or should i pursue another career/job option inside the field of Computer science?What tips do you have for someone like me,who as of now doesnt have any experience in coding or anything like that,and quite frankly made it through school mostly through logic and tutoring rather than actual hard work and organised studying?(not that im some genius who didnt work at all,cuz obviously im nowhere near to that,but ive always been told i have knack for stuff like that and to be fair i didnt face much challenges in school,that and coupled with the fact that ive always been tutored/on courses since young,made me really not accostumed to any study/work routines)
...so I am in Graphic Design but I am stuck as what decision to make. I would like just to expand my skills without completely leaving my current career. But would like to be able to build ML models that can be applied in my career, what's the best course to enrol for? I realised there are a lot of fake learning gigs online since last year and they lecturers themselves cannot even build a ML model that works...
Hey bro!!! What are you into now? Are you learning the skills in machine learning? Actually I'm also a graphic designer and I started to feel like ai will overcome us in graphic design. So I've decided to pursue my career in ai engineering as I feel like ai industry is gonna affect each and every industry. Whether it be 2d or 3d designing or editing or whatsoever. So I was also stuck at which career I should choose that shouldn't be affected by the advancement of ai tech. So I've decided to study ai engineering itself. Or atleast something related to the ai industry. So what are your perspectives? What are your plans?
@@SajidAhmed-2001 For now I am doing ML with Python. Will expand as I go along
I network with Dev's worldwide I don't have time for PhD I am prompt engineer using a I. for business now and building projects
Is there a roadmap on how to transition into an AI/ML role? I’m currently an integration engineer with ~6 years of technical experience but the roles I find seem like they’re looking for more senior engineers with 10+ years of experience.
Have you seen this video? Learn AI Engineering FAST with ChatGPT
ua-cam.com/video/_Sk0W7c78NE/v-deo.html
Thank you, for sharing.
oh...i was so impatient about this interview. Thanks Jean Madam and Moumita Madam for making this happen.
Thanks for the request and waiting! Hope it was worth the wait :)
@@exaltitude yeah totally.
Do I need to be good at maths for AI and ML?
Great guest
She is amazing!
Valuable advices for the begginers! We also see much perspectives in ML engineering. In our last video our colleague who is a Machine Learning Engineer explained his job through an example of the latest AI project he completed at Jelvix. He even shared his work schedule Also quite handy to know before you start learning
I am undergraduate student of AI . I want to do MS in Data science but i am still very confused. Can anyone help me in selecting the field for masters.
This can’t be answered in one sentence. Feel free to join my free LinkedIn events where I answer all questions from the audience. www.linkedin.com/events/softwareengineeringcareersinthe7220148027842289664/comments/
hey I had a few question
1)Can I from a non IT background pivot in this field if I am ready to work hard?
2) Are there any masters courses in the US to pursue in AI/ML?
You can google those and get the answers you need
1. No, be realistic
2. Yes
@@luisbarrett6106 but why isn't it the skills that matter? what if I join a workshop or a masters degree in AI/ML?
@@warlord5488no one will hire you without a computer science degree in Data Science.
How to become the first 1% of the AI engineer? Do a PHD before even thinking about it.
And gain work experience in a multinational before pursuing the PhD
Thanks!
I have done mechanical engineering in my Undergrad, will doing Masters in Robotics in UK or US could help me to get a job as a Machine learning or Deep learning engineer?
It won't hurt
mam as a big take company job salay clear vdo As Dream company programmer
Hey, thank you for the informative video. Although i have a different type of question. I am from Physics Background. i am about to complete my phD in physics. i have good enough background in mathematics. now after completeing PHD i want to shift my carreer from physics to AI. so how can i do that? I was thinking of doing Post Graduate Diploma in AI for.
pLease suggest me. thank you.
Love your content (100th comment)
tysm
tnx for info.... can u help me understand the differencebetween there two Artificial Intelligence & artificial intelligence solution !!??
cuz i want to choose a university bachelor's degree???
and what do you think i should learn?? ML /// deep learning/// python //data analyst //data science...... ???? TNX
gee i wonder how she got a job ai engineering with a phd daa. like your hair! i think i just want to do fun projects on youtube. they want to many software skills now.
Proud to be a Bengali ❤❤❤❤, lot's of love and respect from Kolkata......
Thank you. I am trying to learn some coding languages for my college classes right now. I’m so far behind but I know this is my passion. I feel like it’s so much to learn in so little time. What would you recommend as an entry level job for a programming and analysis degree? Looking to plant my seed before I graduate. Tia❤
You can do it! Have you seen this video? Learn AI Engineering FAST with ChatGPT
ua-cam.com/video/_Sk0W7c78NE/v-deo.html
never thought asian being on asking side of the podcast panel.
I dont have masters, but really passionate about AI nd ML, im already 27, what can i do??
Life is done for u bro. Nothing can be done
@@sujanbhattarai3698 Such a joker
Thank you moumita bhattacharya maam .........🙏🙏🙏
I don't think for AI and ml...
I have very good knowledge of Salesforce administration and development ongoing....
My preference right now with Salesforce...................
Ai right now not developed..
It takes years of time may be after 1 decade we will see the ai job market rise in World..
Right now innovation phase ongoing................
3:46
🙌🏻
AI or Reversed Cramer Equations System, after 25 years i don’t see any progress __new concept__, it s just increase number of equations to billions and use multi-cores processors, what i mean, we need revolution.
My observation is most people who work in AI/ML or mathematical worked with healthcare data to begin with and then moved into different industries as Data scientists.
I can write AI karnel from scratch, hope it would help in future.
bro this is very generic advice. i wanted to know what tools to use? whether to go towards computer vision, or due to emerging trend go towards large language models. which ml/ai vertical (cv, nlp, rl, etc) is being used by majority of the companies. being an ml engineer requires you to know about mlops stuff. so do we use the cloud based services that come with integrated solutions for building ml pipelines or do we lean onto learning opensource tools for each of the stages of mlops - mlflow for model/data tracking, kubeflow for deployment and orchestration, airflow for managing the ml project. what you discussed in the video is a generic advice to somebody who wants to do data stuff (data scientist, data engineer). ml engineer is a very specific role which requires to put ml knowledge into applications that are catered for users at scale. i am disappointed with this video. didn't help me much. thanks regardless.
Hey. I'm a student rn, should i do PhD to excel in AIML field. Should I do it in foreign or in India. Please guide, your words would help ne
Congrats but i don't have a PhD. 😬😔
It’s cool that she has a PhD but I was expecting a more realistic answer to this question of how to become an ML engineer. I think out of the people who are looking to do this path, most of us will not pursue a PhD.
it sorta seems like you're in denial about the requirements for some of these positions going forward. even though some people claim self-taught is ok, it likely isn't at this point. everything i've read says you'll likely need an advanced degree. it just sounds like you don't want to accept this reality.
You don't need a PhD for a ML engineer job, instead you need a lot of experience in data analysis, or software engineer. She's an IA Scientist, and in order to do research you do need a PhD, she's just lying in some questions bc she doesn't know about applied roles in industry
@@orangemoonglows2692 ive seen a lot of openings that do not ask for a PhD but okay. Also its very unrealistic to think that machine learning engineering is only PhD graduates. It’s an applied role and likely not all PhD students are also going to do specifically a data science degree. A lot of people can fit the criteria without a PhD if you isolate the skills needed. That’s basically the entire field of software engineering nowadays.
@@climbersisyphus i actually wasn't thinking in terms of needing a phd in general. however, i do think that ai is in the building phase. as with the early internet/phone builds/tech, etc. these things were created by people who were highly educated, not self-taught. i also think that nobody really knows the types of jobs you can do in ai because isn't truly developed, just like nobody knew what would follow with the internet/www. finally, 73% of software engineers have a bachelors degree.
@@climbersisyphusand I’ve seen job applications, and those positions have 500-1,000+ people applying. Who do you think will get those roles?
Advice from a top 1% machine learning engineer emphasizes the importance of continuous learning and hands-on experience. Focus on mastering core algorithms, stay updated with the latest research, and work on diverse projects to build practical skills. Smythos provides valuable resources and guidance to help you implement this advice and excel in the field.
Can i become an ai engineer if i took masters and PhD in ai after completing my bsc computer science? Can anyone please help me
with my question 😊
There is no certainty, unless you want to be researcher titles are kind of useless in tech industry.
Just a PhD in Maths bruh
A Bengali..... Yeah..... Hello Moumita di......ektu guide Koro na pls
Even though they are bengali, these people behave as born US citizens
we Indians are outstanding in any field
Pls don't say that.
😊
assuming you are already top 1%
curious what qualifys this person to be the top 1% ?
I was wondering too. I don't think there is any metric to determine that.
Making money dude
Ai engineer me jane ke liye utni akal bhi to honi chahiye...
Upar upr ye sb dikhta acha he
😄😁
I don't think it makes her a "top 1% AI engineer" which is a bullshit definition, but she is clearly a pretty good researcher, according to the number of papers she has and the impact of the work. I would say to 10% PhD kinda recent grad (5 years after+-). Overall, pretty impressive work :) But in all honesty, it is not simple to call someone a top 1% something in competitive fields. Only the top 0.001% in ML are clearly top 1%.
She is probably good at "working" with people (who are really smart)
She's pretty. Thanks for the video.
Will you hire me as a content moderator?
I will handle comments for people to follow standard and regulations
Who is she?
Someone needs to hire a sound engineer. Even AI doesn't generate audio this bad.
Maybe you should take care of the wax in your ear
@@tunde6747 I listened to samples of the audio track in the above video again to ensure it wasn't an issue with playback on my end. It isn't.
The audio track is filled with reverberations from beginning to end. This is due to the room in which the audio was recorded being unsuitable for use as a studio. There is nothing on the bare walls to prevent sounds from echoing, which is what I hear.
I owned a music studio from 2007 to 2012 so I have a bit of experience in this area. Fun times, but a great way to lose a lot of money.
You don't need a video..just become a data scientist.. take courses
Machine learning engineer is not the same as data scientist. And your advice is not the full picture neither.
@@reinerheiner1148agreed...people think 💬 it's easy just to watch videos and boom you get your skills+ a miracle job
What is a top 1%?
I think the biggest problem I see is people conflating ML engineer and AI engineer.
The former has a background in machine learning and the latter has a background in anything and is just using LLM APIs.
if someone expert in AI. he no need to be a ML engineer.
i feel sorry for the next gen. It was already a large barrier to get into tech for young milennials. Gen Z and Gen Alpha are going to have to dig in very deep to even get an entry level job
Don't forget that time is not stagnant, those that are there now will shift due to age or so.. They won't be there forever, which will create rooms for people coming
@@tunde6747sadly not so soon.
regarding tools, dumbing down of society: driven people, people who appreciate making things and how things are made, will be smarter and more enlightened. However many people are not interested in such so they just waste their time on indulgences. That is why there's the saying 'smart phones make dumb people.' It's easy to think that in our engineer world bubble others are like us, but the average literacy rate has dropped dramatically since smart phones. Hence the premise of the movie Idiocracy
She is indian ?
seems
Yep
Have a phd lol
one misleading thing about this video is : most people doing ML are not not into research but doing office jobs. Data manipulation techniques like SQL are more important that going too deep into ML algos. A recruiter will rather hire a backend engineer with good data manipulation skills than a ML algo expert.
so be smart😂
Perfect indian pushed into engineering while chinese will build models and do data science. She will be in IT and not allowed in data science departments unfortunate.
explain
@shreyanksingh7122 the data science market is dominated by Chinese. Because Chinese hire Chinese and white Americans think their country is competing with China in AI. So brown people get pushed into IT. If you are indian you will have a hard time finding data science jobs in America.
What ?😊@@shreyanksingh7122
learn to take peoples jobs and learn to automate peoples everyday lives.
Sus
The lady on the right looks like a humanoid robot, she's so beautiful.
Another Rubbish Podcast !
You could have ignore it my Darling
@@tunde6747 already did
@@tunde6747no really there were not many insightful things in this podcast. Everything felt really generic. Listen to Lex Fridman podcasts you will know the difference.
damn, beautiful girl these days are very genius. I cant even understand calculus and aljebra
waste of my time
nice content but very very pretentious
ai engineer dont know much about math, fullstop
Bullshit she knows none
"she knows nothing" and she is at the position she is today earning big 😂
Jokes on someone😂
Nah, sounds like she's just a researcher, and she's talking about ML engineer, they're not the same field but she still talks like they're the same. She doesn't even know what role is talking about so her advice are very basic and kinda silly