Drop questions

I am an ML engineer working in a startup. My current situation is horrible,I am constantly stressed about getting laid-off(My performance is good,I got promoted a month ago). I came to know that my company will probably lay people off this month,since they are unable to meet targets. Now,I got rejected in four interviews. There is a lot to learn and revise. Stats and probability. Machine learning algos. Deep learning architectures(got rejected because I was unable to explain the architecture of a complex model in detail). DSA(got rejected twice in this round). SQL (got rejected once since I was unable to solve the SQL problem). ML ops(some recruiters ask this as well). With the added pressure of getting laid off,my whole life is turned upside down.I am unable to focus. Every meeting or discussion I attend I feel like people are evaluating me.( This was not the case before). I don't know what to do. It would really help,if you guys share your interview experiences below.

Can you list down the companies you have interviewed at for Data Scientist/ML roles and tell us whether DSA was asked? I'll start: Paypal, Visa, Truecaller, Navi - No DSA (had multiple rounds) Paytm, Coinbase - No DSA(Rejected after one round) Walmart- Asked DSA, but it didn't carry much weight Zeta, Microsoft - Asked DSA

I am a 2023 cs grad ,joined an mnc at 7 .44 base 12 CTC,worked there for an year(6months internship+6months full time) Switched to a series a startup at 16.35l base all fixed ,it's been 3 months now and the wlb is very agreesive although the learnings is good and I am working on core genai,llms,classical models,but want to switch to a chill minc with a. Decent 30 percent hike Is it fine? Will it look good on resume?

Hey everyone, happy to answer any questions around Data Science/ML/AI and making a career within it A brief about me, I work currently as a Sr. ML Engineer at an Indian unicorn startup I graduated 5+ years ago and have since worked as a Data Scientist / ML Engineer at an ecommerce company and social media company. My designations have changed based on the industry requirements and work too changed based on that. Would love to take questions on what it means to be an ML Engineer, my early learnings from a career in data science, and thoughts on AI. Look forward to all questions :)

I am experienced data scientist with a track record of managing multiple projects in over a year with strong communication, time management, and computer skills with 95% success rate in automation professional projects, particularly focusing on ML- DL techniques, and developing models and APIs in various domains of data science. I have streamlined multiple machine learning projects. During my corporate period, I have worked on Large Language Model and GenAI projects. I am looking for a data scientist role.

Have upcoming DSA rounds for Staff Software Engineer at Google. Any suggestions around the type of questions to expect or related topics?

Hey guys, so I have been interning at a company for the past 9 months. They have offered me a ppo and I will most likely accept it. But my interest lies in the ML field or some data fields such as data engineering. Can anyone advice me how do I go about it? Like should go for masters(my undergrad degree is not CS or some pheonix branch). Should I learn on my own and keep giving interview. Or should I take some experience in sde and then switch? Thanks in advanced

I am trying to switch to a Data engineering role in a product based company. Please suggest some great practices and strategies to learn DSA with python and SQL to crack interviews at product based companies. I have experience working in AWS data orchestration where I worked on step function creation, Glue, lambda, event bridge. Also used version control like GitHub. Please suggest a way to crack interviews at product based companies for data engineering roles.