Senior ML Engineer: Real-Time Personalization

Launch Potato; Toluca; Híbrido; MXN 1,489,000 - 2,235,000; Jornada completa

Descripción de la vacante

A digital media company in Mexico is seeking a Machine Learning Engineer to create personalization engines that drive user engagement. You will design and deploy ML systems that serve millions of real-time recommendations daily, impacting retention and revenue. Ideal candidates have over 7 years of experience in ML, strong Python skills, and familiarity with large-scale ML systems. Join a high-growth team committed to diversity and impactful tech solutions.

Formación

• 7+ years building and scaling production ML systems with measurable business impact.
• Experience deploying ML systems serving 100M+ predictions daily.
• Strong background in ranking algorithms.

Responsabilidades

• Drive business growth by building and optimizing recommendation systems.
• Own the modeling, feature engineering, data pipelines, and experimentation.
• Implement monitoring systems for model reliability.

Conocimientos

Building and scaling production ML systems

Ranking algorithms (collaborative filtering, learning-to-rank, deep learning)

Proficiency with Python

SQL and modern data warehouses

Distributed computing (Spark, Ray)

Improving business KPIs via ML-powered personalization

Experience with A/B testing platforms

Herramientas

TensorFlow

PyTorch

Snowflake

BigQuery

Redshift

Spark

MLflow

Descripción del empleo

A digital media company in Mexico is seeking a Machine Learning Engineer to create personalization engines that drive user engagement. You will design and deploy ML systems that serve millions of real-time recommendations daily, impacting retention and revenue. Ideal candidates have over 7 years of experience in ML, strong Python skills, and familiarity with large-scale ML systems. Join a high-growth team committed to diversity and impactful tech solutions.