That’s not always true. At most companies, at the same level, ML engineers and scientists make more than SDEs. We do agree that there is good growth opportunity in all career paths if you excel at it.
I have just 1 question. Is it too late to start a career in data science. I have been doing bug bounty(finding bugs/vulnerabilities in websites) for over a year now and iam really interested in data science and machine learning. I graduated in may 2019 and since then i have been doing bug bounty i have had no job. I know that it can take upto 6-7 months to learn ML and DL. Will the career gap affect me to get a job since i have a career gap and i will be a fresher in the field.
Given that you have been working on finding bugs in websites, that would count as experience in website testing. It is still very possible to learn and transition to careers in data science and machine learning if you put in the necessary efforts.
Congrats Sherays, Welcome to Quixy I enjoyed the time Interviewing you. AppliedAI always produces Quality people.
Thank you Giriteja for your appreciation of our students.
Thank you Giriteja for giving me the opportunity to work with Quixy.
Thank you team for having me in this interview!!
Sir why you do not reveal the package in the interview experience it helps us to understand the hike in transition
Hi Ayush, Please go to the video again. It is mentioned at 4:04. Thank You.
@@AppliedAICourse Thanks for reply but I'm talking about actual number.
Many companies have restrictions on sharing the actual compensation on a public forum. Hence, we respect that.
Congratulations Shreyas
one feature that highest weight
How much package he got from quixy?
Very competitive to top product based startups.
Best structured course
Why from SDE to ML ?🤨
Typical due to interest in Math/ML/AI, better growth opportunities and higher compensations.
@@AppliedAICourse Growth of SDE is exponential and it is the highest paid career in IT field.
Even for fresher but ML is just opposite.
That’s not always true. At most companies, at the same level, ML engineers and scientists make more than SDEs. We do agree that there is good growth opportunity in all career paths if you excel at it.
I feel you require more effort in SDE compared to ML to earn same amount of compensation and everyone know that we work for money rest is just bs.
I am so much intrested but i am afraid i wouldn't be able to give much time and finally would get furstate 😪
You should commit to spend 10-15 hrs a week. Else, it will be hard to successfully learn and transition to careers in ML/AI.
Hi, many I know his total years of experience in total before this? And congratulations on your achievement.
2 yrs of prior experience as a Software Developer.
I have just 1 question. Is it too late to start a career in data science. I have been doing bug bounty(finding bugs/vulnerabilities in websites) for over a year now and iam really interested in data science and machine learning.
I graduated in may 2019 and since then i have been doing bug bounty i have had no job. I know that it can take upto 6-7 months to learn ML and DL. Will the career gap affect me to get a job since i have a career gap and i will be a fresher in the field.
Given that you have been working on finding bugs in websites, that would count as experience in website testing. It is still very possible to learn and transition to careers in data science and machine learning if you put in the necessary efforts.
AppliedAI is awesome i suggested this course to many of my friends ....
Sir,
Putting 12 hrs a week ...
What do you mean is it the duration of 12 hrs of course content
Or just 12 hrs of study?
12 hour of effort a week.
Can a fresher of EnTC be a ML engineer by this course ??
Yes, please checkout the free videos on our website to see if you are able to follow the videos and code.
Congrats 🐙🐙