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.
The take home assignment was confidential, but as long as someone has a good grasp of opencv, numpy and other standard Python computing libraries, should be doable. The third stage was about systems thinking and the questions were built upon the take home assignment e.g. how to scale the algorithm. There were some role-specific questions, which in my case was about MLOps.
Questions on Trees , Machine Learning basic questions like Precision ,Recall, Regression Supervised and Unsupervised Learning with full explanation (Algorithms too) and Algorithms. Full Explanation of my Resume.
Why we use odd kernel size in conv layer?
I got a code of DL model and its training process. The task is to fix it.
what is reinforcement learning? in machine learning
What are your projects? What is SVM , linear regression?
Simple Leetcode style problems were asked. And also to debug an ML algorithm.
Python code Question with a list of strings. I had to convert and sort in a order that female comes first and male after with prefixes.
How would you prevent your model from overfitting?
How would you account for bias in your training data?
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