ML Engineer vs AI Engineer: What's Actually the Difference?

<p>Most people still think AI is about better answers. That phase is already behind us. What is emerging now is something fundamentally different: AI that reasons. Systems that do

<p>The tech job market in 2026 is sending contradictory signals. Nearly 79,000 workers were laid off in Q1 alone, and 20% of companies explicitly cited AI as the reason. At the

<p>For decades, the tech industry chased the myth of the “10x Developer.” We looked for that rare unicorn who could out-code a small team. But today, that myth has been shattered

<p>The ML engineer role is changing. If you're a data engineer who's been watching from the sidelines, the window is opening wider than it's ever been.</p> <p>Something is

<p>The data is clear on what’s already happening.</p> <ul> <li><p>Labor’s share of GDP fell to <strong>53.8% in Q3 2025</strong> — the lowest in the modern BLS series back to

<p>Last year I was hiring my third virtual assistant. The first one was great but moved on. The second ghosted after two weeks. By the time I was writing yet another job post on

<!-- SC_OFF --><div class="md"><p>Agents are amazing. Harnesses are cool. But the fundamental role of a data scientist is not to use a generalist model in an existing workflow;

<p>You opened ChatGPT before Slack this morning.<br /><br /> Not for anything complicated. Just to figure out how to begin.</p> <p>That small move is already changing what