Why 90% of ML Engineers Struggle in Real-World Systems

Most ML engineers don’t fail because they lack knowledge. They fail because they’re solving the wrong problem. Most ML engineers are trained to: Optimize models Improve accuracy Tune hyperparameters But real-world systems don’t fail because of bad models. They fail because of: Bad system desig