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.
Questions were broadly one of three types: 1) Technical design and model questions about the take home assessment 2) General technical questions about ML and software engineering 3) Behavioral questions. One example of a behavioral question was "Why are you interested in finding a new role currently?"
Basic ML questions and data structures
- Retail Chain sales data analysis
Can you describe an ML project you have worked on?
Simple Python coding using lists, sets and write a very simple function. Cultural questions are standard
Q: What will happen if you train model using eval data?
questions about the online test i did.
Top grading, look it up online. They don't call your supervisor, but you have to be prepared to reflect on your best and worst times in an honest way. They do this to spot if you lie on your CV. Very easy to pass if you tell the truth.
Some questions are based on the projects listed on my resume.
Why GoDataDriven? What have you contributed to open-source?
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