Business

ML Engineer

Définition

An engineer who specialises in building, deploying, and maintaining machine learning systems in production. ML engineers bridge the gap between data scientists' experimental models and the robust, scalable infrastructure required for enterprise AI.

Termes Connexes

Data Scientist

A professional who combines statistics, machine learning, and domain knowledge to extract insights and build predictive models from data. Data scientists are most effective when paired with strong data engineering and MLOps infrastructure to move from notebook experiments to production systems.

AI Tech Lead

A senior technical leader who guides architecture decisions, engineering best practices, and model development for AI products. The AI tech lead bridges research and production, ensuring that promising models are transformed into reliable, maintainable, and compliant systems.

MLOps

The practice of combining Machine Learning, DevOps, and data engineering to streamline the deployment, monitoring, and maintenance of ML models in production. MLOps ensures reliable, scalable, and reproducible ML systems across their entire lifecycle.

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