LiveOps ML Engineer – Azure Databricks

Infosys Limited; Región Centro, Monterrey, Santiago de Querétaro; Remote; MXN 450,000 - 650,000; Full time

Job summary

Infosys Limited in Mexico seeks a LiveOps (Machine Learning) Engineer to support Supply Chain Enterprise AI use cases across the Americas and with teams in the U.S., India and Malaysia.

You will handle incident management, model monitoring, CI/CD, and tooling for diagnostics; you will improve code, automate tests, maintain documentation, and develop dashboards for operational reporting.

Qualifications

• Strong Python programming skills with debugging and refactoring experience.
• Strong PySpark for large-scale data processing and transformation.
• Experience with Databricks and Azure platforms.
• Experience developing dashboards and operational reporting solutions.
• Experience with data and model monitoring and CI/CD pipelines using GitHub Actions.

Responsibilities

• Incident management, including triage, diagnosis, resolution, and documentation.
• Solution monitoring and operational support.
• Identify and implement improvements for maintainability and reliability.

Skills

Python

PySpark

Databricks

Azure

CI/CD

Git

Tools

GitHub Actions

Job description

Infosys Limited in Mexico seeks a LiveOps (Machine Learning) Engineer to support Supply Chain Enterprise AI use cases across the Americas and with teams in the U.S., India and Malaysia.

You will handle incident management, model monitoring, CI/CD, and tooling for diagnostics; you will improve code, automate tests, maintain documentation, and develop dashboards for operational reporting.