Senior ML Engineer — Real-Time Personalization at Scale

Launch Potato; Puebla de Zaragoza; Híbrido; MXN 900,000 - 1,200,000; Jornada completa

Descripción de la vacante

A dynamic tech company based in Mexico is seeking a Machine Learning Engineer to build and optimize recommendation systems for millions of users. This role involves designing, deploying, and scaling ML systems that impact engagement and revenue. Candidates should have extensive experience in ML systems, ranking algorithms, and proficiency in Python and SQL. Join a remote-first team committed to impact and innovation.

Formación

• 7+ years building and scaling production ML systems with measurable business impact.
• Strong background in ranking algorithms (collaborative filtering, learning-to-rank, deep learning).
• Experience with A/B testing platforms and experiment logging best practices.

Responsabilidades

• Drive business growth by building and optimizing recommendation systems.
• Own modeling, feature engineering, and data pipelines.
• Run statistically rigorous A/B tests to measure true business impact.

Conocimientos

Building and scaling production ML systems

Ranking algorithms expertise

Python proficiency

SQL and data warehouses

Distributed computing knowledge

A/B testing experience

Herramientas

TensorFlow

PyTorch

SQL

Spark

MLflow

Descripción del empleo

A dynamic tech company based in Mexico is seeking a Machine Learning Engineer to build and optimize recommendation systems for millions of users. This role involves designing, deploying, and scaling ML systems that impact engagement and revenue. Candidates should have extensive experience in ML systems, ranking algorithms, and proficiency in Python and SQL. Join a remote-first team committed to impact and innovation.