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I am interested in both the job-seeker's as well as employer's perspectives.
Here are some points of consideration: - satisfaction with salary - overall process - good for finding senior roles?
In my case, I have taken on freelance jobs doing machine learning and NLP for small companies that don't have budget or need to hire an ML engineer full time. In my day job, I do a lot of data engineering and data warehousing work and very little modeling.
My side work is more in line with the type of work I am going for, so I'd like to be able to highlight those projects in an interview, but so far have avoided discussing them in depth or even putting them on my resume. As a result I feel I am categorized as being a great fit for a data eng role, but not enough experience for data science or machine learning.
Generally speaking, do companies look down on candidates who take on side work in addition to their FT job?
I suppose it varies depending on the type of company, but curious to hear how others in the HN community have handled the situation.