**ML Engineer – Job Description**

**PURPOSE AND SCOPE**

Design, build, and scale machine learning systems that enable advanced analytics, predictive modeling, and data-driven decision-making.

Partner with data science, engineering, and business teams to productionize models and embed them into enterprise applications and workflows.

Ensure robust, reliable, and governed ML solutions aligned with enterprise architecture and responsible AI principles.

**PRINCIPAL DUTIES AND RESPONSIBILITIES**

Develop, deploy, and maintain end-to-end ML pipelines, including data ingestion, feature engineering, model training, and inference at scale.

Collaborate with data scientists to operationalize models and optimize performance, scalability, and cost in production environments.

Monitor and maintain model performance, implementing retraining, versioning, and continuous improvement processes.

**EDUCATION**

Bachelor’s...