LiveOps (Machine Learning) Engineer

Infosys Limited; Región Centro, Monterrey, Santiago de Querétaro; A distancia; MXN 450.000 - 650.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

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

Conocimientos

Python

PySpark

Databricks

Azure

CI/CD

Git

Herramientas

GitHub Actions

Descripción del empleo

State / Region / Province

Country

Mexico

Skills

Technology|Cloud Platform|Azure Core services, Technology|Data Science|Machine Learning, Technology|data science|PYTHON

Domain

Delivery

Interest Group

Infy Mexico

Company

Requisition ID

155730BR

We are looking to staff one LiveOps (Machine Learning) Engineer in the Latin America region to support our Supply Chain Enterprise AI (EAI) use cases. The individual will join an existing team comprising employees and contractors from multiple vendors and will collaborate with users and stakeholders across regions, including the U.S., India, and Malaysia.

Key Responsibilities

• Incident management, including triage, diagnosis, resolution, and documentation.
• Solution monitoring and operational support.
• Identifying and implementing improvements, such as code refactoring and automated testing, to enhance maintainability and reliability.
• Tracking and reporting solution health KPIs.
• Maintaining and improving technical and user documentation.

The LiveOps Engineer will be expected to:

• Gather, assess, and prioritize issues, collaborating with the LiveOps Lead, Product Owner, and technical teams to implement fixes.
• Proactively monitor model, data, and solution performance, identifying opportunities for improvement.
• Execute continuous improvement initiatives under the guidance of the LiveOps Lead.
• Develop and assetize tools for monitoring, diagnostics, and operational support.
• Maintain, test, and enhance model, data, and CI/CD pipelines.
• Monitor operational metrics and logs to proactively identify, diagnose, and resolve issues.

Required Skills

Must-Have

• Strong Python programming skills with hands-on experience in debugging, troubleshooting, and code refactoring.
• Strong proficiency in 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.
• Hands-on experience with CI/CD pipelines using GitHub Actions, including automated build, test, and deployment workflows.
• Strong knowledge of Git version control.

Good-to-Have

• Experience with time series forecasting solutions.
• Experience using Kedro to develop structured, modular, and maintainable data pipelines.

About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.