Skills get enhanced by working here.
No cons as such, but the hike is not much.
1hr technical assessment consisting of: * MCQs related to RAG, Deep Learning, and Machine Learning basics * 2 coding tasks on 2 datasets for classifier and regression using Linear Regression, TFIDF vectoriser, and Naive Bayes.
Assessment can differ from time to time. This one was easy, with 2 ML sklearn model questions and prompt making and some easy MCQs. This is for 3 years exp L10.
After the shortlist, the first round of the interview focused on the Google Cloud Vertex AI. It covered model monitoring, model deployment using FastAPI, supervised and unsupervised models, and multiple Google Cloud services.
1hr technical assessment consisting of: * MCQs related to RAG, Deep Learning, and Machine Learning basics * 2 coding tasks on 2 datasets for classifier and regression using Linear Regression, TFIDF vectoriser, and Naive Bayes.
Assessment can differ from time to time. This one was easy, with 2 ML sklearn model questions and prompt making and some easy MCQs. This is for 3 years exp L10.
After the shortlist, the first round of the interview focused on the Google Cloud Vertex AI. It covered model monitoring, model deployment using FastAPI, supervised and unsupervised models, and multiple Google Cloud services.