Hi everyone, I have 5.5 years of experience in research-focused data science, specializing in modeling, inference, experimental design and analysis. In corporate interviews, I find many roles emphasize deployment (MLOps, APIs, cloud), which wasn’t central to my work. How can I bridge this gap? What skills should I prioritize? Are there roles that value research expertise over deployment? Any advice would be appreciated!

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With 5.5 years of experience, this question can be easily answered by yourself, obviously mlops deployment would need devops experience.. Search MLOps in YouTube, watch few videos and then walk in that rabbit hole .. you'll get it..

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