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If you know or have good understanding in docker, kubernetes, git (GitHub actions) or any of the orchestration software like airflow or tools like MLflow, then you're good to choose ML engineer.
If you're strong in data science especially GenAI and NLP, and love to solve complex problems by building the models then you can choose NLP GenAI data scientist.
Also, think about where do you want to be in next 3 or 5 years.
Also if you can help by providing the CTC from Both the companies that will be useful for me as I'm also started looking for the jobs. Thanks
Community Builder
I have worked as a software engineer and some Generative AI side in my company, and has done some deployment in Azure ML, particularly in MlOps I have no knowledge, but I have seen most interview in MlOps they ask data science questions and coding questions little about MlOps