Senior ML Engineer: Real-Time Personalization (Remote)

Launch Potato; León; Híbrido; MXN 1,465,000 - 2,199,000; Jornada completa

Descripción de la vacante

A tech-driven company is seeking a Machine Learning Engineer (Recommendation Systems) to develop a personalization engine impacting millions of users daily. You will design, deploy, and optimize ML models serving over 100M predictions daily, ensuring impactful business outcomes. Ideal candidates have extensive experience with production ML systems and ranking algorithms, and are proficient in Python and data warehousing tools.

Servicios

Competitive salary

Remote work options

Diversity and inclusion initiatives

Formación

• 7+ years building and scaling production ML systems with measurable business impact.
• Strong background in ranking algorithms including collaborative filtering and deep learning.
• Experience with data pipelines and experiment logging best practices.

Responsabilidades

• Drive business growth by building and optimizing recommendation systems.
• Build and deploy ML models serving 100M+ predictions per day.
• Run statistically rigorous A/B tests to measure impact.

Conocimientos

Building and scaling production ML systems

Fluent in ranking algorithms

Proficiency with Python and ML frameworks

Skilled with SQL and modern data warehouses

Familiarity with distributed computing

Experience with A/B testing platforms

Educación

Bachelor's degree in Computer Science or related field

Herramientas

TensorFlow

PyTorch

SQL

Spark

Descripción del empleo

A tech-driven company is seeking a Machine Learning Engineer (Recommendation Systems) to develop a personalization engine impacting millions of users daily. You will design, deploy, and optimize ML models serving over 100M predictions daily, ensuring impactful business outcomes. Ideal candidates have extensive experience with production ML systems and ranking algorithms, and are proficient in Python and data warehousing tools.