I’m targeting MLE and SWE positions in my job search. Any feedback on how to improve my resume is appreciated. YOE: 4 (2 DS/2 SWE) TC: 190k #resume #resumereview #machinelearningengineer #swe
From people I've spoke to, bullet points should be impact driven with numbers or percentages: You want to quantify your impact with numbers.
The OP has this. But, as a hiring manager seeing these and asking questions about these, I’m skeptical. Metrics are just another way of BS-ing. It is notoriously difficult to make impact like that. You better explain (if not in the resume, then in the interview/screen) why your model deployment reduced costs (of what) by 79%
@microsoft, how do you recommend striking a balance of touting accomplishments and making them believable on the resume? Is this just a case where not everyone can be pleased? (I.e. not every HM will believe the metrics you provide?)
DM for SAP and anyone else for a referral!
Looks OK