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Infosys

DNASURE_ExxonMobil - Machine Learning Engineer - TL Mexico

Infosys Mexico

IT Services and IT Consulting · 10,001+ employees

Yesterday
machine-learning Mid (2-5 yrs) Full-time Mexico
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About the role

The LiveOps Engineer will manage incident resolution, monitor model and data performance, and implement improvements to system reliability. They will also collaborate with cross-regional teams to develop diagnostic tools and maintain CI/CD pipelines.

What they look for

Python PySpark Databricks Azure Machine Learning CI/CD GitHub Actions Git Data processing Operational support Incident management Dashboard development Time series forecasting Kedro Code refactoring Automated testing

Requirements

Candidates must have strong Python and PySpark skills with experience in Azure and Databricks platforms. Proficiency in CI/CD workflows using GitHub Actions and experience in data monitoring are essential for this role.

Full description

Job Description

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.

EEO/About Us

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.

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