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México🌐 Remote💼 Full-time🗓 2026-08-06 → 2026-09-07

Core

Develop and implement automated machine learning solutions for efficient data processing and model orchestration to solve business use cases in the fintech sector.

Role type

Machine Learning Engineer

Builds

Automated ML pipelines and data processing solutions for fintech clients

Domain

Fintech, Big Data

Deliverable

production ML models

Required skills

Python, SQL, Apache Spark, Docker, Kubernetes, AWS, Google Cloud

Preferred skills

None stated

Technologies

Spark, Python, SQL, Docker, Kubernetes, AWS, Google Cloud

Responsibilities

Collaborate with data engineers and scientists to develop and automate data pipelines and models; Implement and manage data processing and ML model pipelines using Docker/Kubernetes on AWS and Google Cloud; Document designs and code to maintain data quality; Ensure solutions meet security, privacy, and data governance standards; Mentor junior team members on ML concepts and related technologies

Seniority

Mid-level, hands-on IC

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