Senior ML Platform Engineer — Scalable ML Infra & Tools

Pacificacontinental; Ciudad de México; On-site; MXN 1,108,647 - 1,662,971; Full time

Job summary

A leading financial technology firm in Ciudad de México is seeking a SR Machine Learning Engineer to develop and maintain a robust ML platform. You will work closely with cross-functional teams to enhance data science applications and ensure high performance in handling large transaction volumes. The ideal candidate has a Bachelor's degree, over 3 years of experience, and proficiency in Python and related ML tools. This role is vital to improving technology access in emerging markets.

Qualifications

• 3+ years of experience as a machine learning engineer or related position with proven production-level coding ability.
• Strong understanding of ML infrastructure management and best practices.
• Experience working with large data volumes for model serving and monitoring.

Responsibilities

• Collaborate with global teams to deliver data science products.
• Own the life cycle of ML infrastructure ensuring optimal performance.
• Build tools for modeling team to ease data extraction and feature generation.

Skills

Python

ML life cycle knowledge

Data handling

Cloud services (AWS)

Communication skills (English)

Education

Bachelor's degree in Computer Science or Engineering

Tools

Scikit-Learn

Pandas

Flask

FastAPI

Feature store tools (Chalk.ai, Tecton, etc.)

Job description

A leading financial technology firm in Ciudad de México is seeking a SR Machine Learning Engineer to develop and maintain a robust ML platform. You will work closely with cross-functional teams to enhance data science applications and ensure high performance in handling large transaction volumes. The ideal candidate has a Bachelor's degree, over 3 years of experience, and proficiency in Python and related ML tools. This role is vital to improving technology access in emerging markets.