Ahmed S.

Build and deploy machine learning models into production.

Work with data pipelines (collecting, cleaning, transforming data).

Optimize models for scalability, performance, and real-world use.

Collaborate with data scientists, software engineers, and stakeholders.

Monitor, maintain, and retrain models as data changes.