I’m concerned that data science roles are shifting towards analysis and engineering tasks. Is a career in data science still promising, and do machine learning engineers focus mainly on deployment rather than model building?
hey everyone, i still beleive ds is promissing even if roles shift a bit. ml enginers do a mix of creating & deployin models. has anyone experienced these changes in their job? what are your feels about this evolution?
hey, im thinkin ds is still an excitin field - shifts in roles open new doors. how r u guys adapting, merging modelin and deployment tasks? anyone observin a cool trend in their work?
hey, i reckon ds is still solid. roles shift, but both modelling and deployment skills are needed. ml engineering isnt jus about deployin models, its a mix. adapt and evolve with the trends.
Based on personal experience, a career in data science still offers excellent opportunities, but success now requires a broader skill set. I have observed a clear trend where professionals must be adept in both developing and operationalizing models. The emphasis on integrating analysis with engineering principles is driving the evolution of roles within the field. This shift means that continuously updating your knowledge, including aspects of machine learning deployment and data infrastructure, is essential. Embracing these changes can lead to a rewarding and sustainable career in data science.