What does a AI Engineer do?
- Integrates the model into the product and builds the API
- Builds pipelines for data and inference
- Ships the system to production, monitors and optimises it
- Balances quality, latency and cost
Which skills do you need?
PythonMachine learning fundamentalsMLOps and deploymentAPIs and backendCloud infrastructureSystems thinkingOptimisation
How to become a AI Engineer?
- 1Bachelor's: computer science, engineering or maths
- 2Specialisation: ML + backend/infra + real projects
- 3Junior AI engineer: shipping a model in a product team
What is the work environment like?
Deep work at the computer: code, models and infrastructure. Often remote or hybrid; the pace rises during incidents and releases.