Companies rely on machine learning engineers to help design and improve the systems that allow their software to improve on its own, rather than being specifically programmed. During the interview process, be prepared to be tested heavily on both computer science and data science knowledge with an emphasis on recognizing patterns and trends. A bachelor's degree in computer science or a related field will be required.
Hands-on on coding in java (they were very particular about coding in java, no other language), Leetcode Based Coding. Abstract Machine Learning Problems, Variance Bias Decomposition, Boosting, Naive Bayes and other machine learning algorithms and projects
How would you explain batch normalization?
they asked me ranking techniques in rag? given an image of a person(such as their driver's license), how can we verify their identity for say kyc processing? tell me the entire story of AI, ML, deep learning to transformers architectures
I appreciated the depth to which various interviewers wanted to understand what I was looking to get out of a role with PhysicsX, and ensure that we were a good fit for each other.
This was effectively a ML system design question for a entry level position. It's not hard to guess what one could be given that they are effectively trying to solve problems in supply chain. Hint: Try to look up ML system design questions at companies like Uber.
your past experience and do you need h1b sponsorship
Take the 6 values from their website and rank them in order of importance and provide an example of how you acted according to them
Fundamental questions around Computer Vision, CNN architectures and components
Ai vs ml vs ds
What do you understand about the Kubrick training model? Why do you want to do Machine Learning?
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