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.
Basic ML stuff, nothing special. The process also involves working out an assignment. I'd recommend really to consider whether you want to invest time in it because in the end you risk being left even without a simple response wrapping up the whole interaction.
Dsa:- find the longest palindromic substring
Previous experience, desired salary and similar
Design and implement a simple key value database with value counting /checkpoints.
Supervised vs Unsupervised machine learning
Explain the real world uses of naive baised algorithm
1. Introduce 2. Questions on Project. 3. Computer Vision based situationals 4. Code on decorators and dictionary 5. Computer vision-related questions, both situational and how to improve the accuracy of the model.
Some python questions, and past projects
Coding questions, not difficult, basic
Design Uber Eats Restaurant Recommendations
Viewing 8241 - 8250 interview questions