Is the ds/ml slowly being morphed into an AI engineer? [D]

<!-- SC_OFF --><div class="md"><p>I've been using AI extensively for ML research, and I've noticed a bottleneck: brainstorming research directions and generating smoke run

<!-- SC_OFF --><div class="md"><p>I work at Microsoft CoreAI as an engineer, and have offers from three equally competitive PhD programs starting Fall 2026 and the Claude Code

<!-- SC_OFF --><div class="md"><p>I want to make an AI Project or something, I want to know how realistic it is for me to be able to make my own like chatbot or something. I know

<!-- SC_OFF --><div class="md"><p>I did my B.Tech in AI/ML where I learned core machine learning concepts like model training, evaluation, etc., and also completed an ML

<!-- SC_OFF --><div class="md"><p>I have a degree in information technology, but I didn’t focus enough during my undergrad to really grasp technology as a whole. Now, I work in

<!-- SC_OFF --><div class="md"><p><strong>quick context:</strong> we're a small AI creative agency, 9 people, based in Pune. we work with brands on commercial visuals product

<!-- SC_OFF --><div class="md"><p>I just got accepted into a tuition-free AI Engineering bachelor’s program in Europe, and I’m excited to start.</p> <p>At the same time, I’ve been

<!-- SC_OFF --><div class="md"><p>Just went through a Stanford paper that tracked 51 actual AI deployments - not surveys or sentiment polls, real production systems across 41