MLOps Engineer: Scale ML Pipelines in AWS & SageMaker

Xideral; Región Centro; Híbrido; MXN 719,000 - 1,079,000; Jornada completa

Descripción de la vacante

A leading tech company is seeking an experienced MLOps Engineer to design, deploy, and maintain scalable ML solutions in a hybrid work environment. The ideal candidate will possess a strong background in MLOps and AWS, particularly with SageMaker. Responsibilities include building ML pipelines, defining APIs, and collaborating with cross-functional teams. The role requires advanced programming skills and the ability to work in both remote and on-site settings. This position offers a dynamic work schedule from Monday to Friday, focusing on innovation and continuous improvement.

Formación

• 5+ years of experience as an MLOps Engineer.
• Advanced proficiency in Python programming.
• Experience developing CI/CD pipelines using GitHub Actions (TypeScript).
• Familiarity with ML training and inference workflows.

Responsabilidades

• Build, deploy, and maintain ML pipelines and production-ready models.
• Define and develop APIs and MCP servers to support ML solutions.
• Implement batch and real-time model scoring in distributed environments.
• Establish strong relationships with clients and internal teams.

Conocimientos

MLOps

AWS

CI/CD automation

Container orchestration

Python programming

Data science and machine learning

Communication skills

Educación

Bachelor’s degree or higher in Computer Science, Engineering, Data Science, or related field

Herramientas

AWS SageMaker

MLflow

Kubeflow

Databricks

GitHub Actions

Kubernetes

Descripción del empleo

A leading tech company is seeking an experienced MLOps Engineer to design, deploy, and maintain scalable ML solutions in a hybrid work environment. The ideal candidate will possess a strong background in MLOps and AWS, particularly with SageMaker. Responsibilities include building ML pipelines, defining APIs, and collaborating with cross-functional teams. The role requires advanced programming skills and the ability to work in both remote and on-site settings. This position offers a dynamic work schedule from Monday to Friday, focusing on innovation and continuous improvement.