LiveOps ML Engineer for AI Supply Chain (LATAM)

Infosys; Monterrey; On-site; MXN 900,000 - 1,300,000; Full time

Job summary

Infosys seeks a LiveOps (Machine Learning) Engineer in the Latin America region to support EAI use cases. You will join a multi-vendor team and collaborate across the U.S., India, and Malaysia with a focus on reliability and performance.

You will manage incidents, monitor model and data health, and develop tooling for monitoring, diagnostics, and operational support, while maintaining documentation and CI/CD pipelines.

Qualifications

• Strong Python programming with debugging and refactoring skills.
• Proficient PySpark for large-scale data processing.
• Experience with Databricks and Azure platforms.
• Experience developing dashboards and operational reporting.
• Experience with data and model monitoring.
• Hands-on CI/CD with GitHub Actions for build, test and deployment.
• Strong knowledge of Git version control.

Responsibilities

• Incident management including triage, diagnosis, resolution and docs.
• Solution monitoring and operational support.
• Implement improvements like code refactoring and automated tests.
• Track and report solution health KPIs.
• Maintain and improve technical and user documentation.
• Develop and assetize monitoring, diagnostics and ops tools.
• Maintain, test and enhance model, data and CI/CD pipelines.
• Monitor logs to proactively diagnose and resolve issues.

Skills

Python programming

PySpark

Git version control

CI/CD pipelines (GitHub Actions)

Dashboarding / reporting

Model / data monitoring

Tools

Databricks

Azure

GitHub Actions

Job description

Infosys seeks a LiveOps (Machine Learning) Engineer in the Latin America region to support EAI use cases. You will join a multi-vendor team and collaborate across the U.S., India, and Malaysia with a focus on reliability and performance.

You will manage incidents, monitor model and data health, and develop tooling for monitoring, diagnostics, and operational support, while maintaining documentation and CI/CD pipelines.