ML Ops Engineer — Build Pipelines, Deploy Models, Cloud

NTT DATA; Estado de México; Híbrido; MXN 1,289,000 - 1,659,000; Jornada completa

Descripción de la vacante

A global technology services provider is seeking an experienced ML Ops Engineer for their Mexico office. The role involves building ML pipelines, deploying models, and developing APIs. Candidates should have at least 5 years of experience in ML operations, proficiency in AWS and Kubernetes, and strong Python skills. The position emphasizes client satisfaction and innovative problem-solving. Competitive compensation and various working arrangements are offered.

Formación

• 5+ years as an ML Ops Engineer with hands-on experience in relevant tools.
• Proficiency in Python and data processing.
• Strong understanding of ML workflows.

Responsabilidades

• Build ML Pipelines and deploy models.
• Define and develop APIs on data science projects.
• Conduct market research and communicate client needs.

Conocimientos

AWS SageMaker

ML lifecycle tools (e.g., MLflow, Kubeflow)

Weights & Biases

Databricks

Python programming

GitHub Actions with Typescript

Kubernetes

Edge ML deployment

ML training and inference workflows

Data preparation and feature engineering

Communication

Agile Thinking

Adaptability

Problem-solving

Work ethic

Descripción del empleo

A global technology services provider is seeking an experienced ML Ops Engineer for their Mexico office. The role involves building ML pipelines, deploying models, and developing APIs. Candidates should have at least 5 years of experience in ML operations, proficiency in AWS and Kubernetes, and strong Python skills. The position emphasizes client satisfaction and innovative problem-solving. Competitive compensation and various working arrangements are offered.