Experience with reading ML research papers?
Junior Machine Learning Engineer Interview Questions
6,580 junior machine learning engineer interview questions shared by candidates
In the initial discussion round, they have asked questions related to the basics of machine learning and machine learning algorithms. And then they have asked about CNN, RNN, LSTM, different deep learning frameworks like TensorFlow and PyTorch. Questions like what are the updates are there in Tensorflow 2.x compared to 1.x, what is the difference between Tensorflow and Keras. They asked questions related to the projects which I have mentioned in my resume. In coding assessment round, they gave some tasks to perform in a particular deadline.
What Projects did I do?
* Project experience; * Experience with K8
ML 1. XGBoost usage and applications 2. Genetic vs Bayesian Algorithms Python 1. Advantages of Python 2. Dict comprehension 3. What's a Middleware ? DevOps 1. Lots of AWS questions 2. CI/CD & DDT approaches + automation scripts 3. Nginx - what why & how ? FastAPI 1. Flask is more popular, why use FastAPI ? 2. Importance of Pydantic ? 3. Using routers
Describe the workflow of one of the projects mentioned in your cv
Tiene experiencia laboral de acuerdo a nuestra empresa?
what project did you do till now and what is your role in that project?
There were coding questions with a very limited timing
What are my experiences and how can i add value to the company.
Viewing 461 - 470 interview questions
See Interview Questions for Similar Jobs
Ai Machine Learning EngineerMachine Learning ResearcherMachine Learning EngineerSenior Machine Learning EngineerPython Machine Learning EngineerMachine Learning SpecialistDeep Learning Research EngineerAi Software EngineerMl EngineerApplied Machine Learning EngineerDeep Learning EngineerMachine Learning ResearchMachine Learning ConsultantSenior Computer Vision EngineerSenior Artificial Intelligence EngineerDeep Learning ScientistData Science EngineerMachine Learning Research Engineer