Machine Learning Engineer

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Tell us a little bit more about yourself and your recent experience
While developing a feature to provide real-time personalized product recommendations using AWS, Python, an LLM (Large Language Model), and a NoSQL database, you notice that the response times are significantly higher than expected due to the LLM's processing time. How would you address this issue to ensure low-latency recommendations without compromising the quality of the recommendations? Please describe your approach and any tools or techniques you would use.
Can you explain how you approached the task of training a custom language model? What techniques did you use to ensure the model's accuracy and relevance?
Can you discuss a project where you had to balance model complexity with performance requirements? How did you ensure the model was both accurate and efficient?
What is your expected salary and when is the earliest you can join us - if you are selected.

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