Machine Learning Engineer

What Machine Learning Engineer is

The role sits between data science and software engineering: designing training pipelines, evaluating models properly, and operating them once deployed.

How it works

Day to day involves data pipelines, feature work, training and evaluation, deployment, monitoring and retraining. Core skills are Python, SQL, a deep learning framework, cloud infrastructure and solid software engineering practice.

Why it matters

It remains the central technical AI role, and the one that requires both statistical judgement and production discipline.

Common uses

• →Recommendation and ranking systems
• →Fraud and risk models
• →Forecasting platforms
• →Computer vision products