Senior MLOps Engineer - Scale AI with Secure Deployments

HP; Tlaquepaque; Presencial; MXN 1.200.000 - 1.600.000; Jornada completa

Descripción de la vacante

HP is seeking a Senior MLOps Engineer to design, build, and operate scalable infrastructure for ML models and large language models. You will enable end-to-end deployment from experimentation to production, exposing services through secure endpoints across AWS and Databricks.

The role requires building robust CI/CD pipelines, model-serving infrastructure, observability, governance, rollback mechanisms, and production-grade reliability.

Formación

• Experience with cloud platforms (AWS) and ML infrastructure.
• Strong background in MLOps, CI/CD pipelines, and model deployment.
• Familiarity with observability, security, and governance for ML systems.

Responsabilidades

• Design scalable MLOps platform using AWS and Databricks.
• Build CI/CD pipelines for models, code, and artifacts.
• Deploy secure, low-latency inference endpoints for models/LLMs.
• Implement multi-region, autoscaling, and rollback strategies.
• Ensure observability with dashboards, metrics, and tracing.
• Collaborate with data scientists, ML engineers, and security teams.

Herramientas

AWS

Databricks

SageMaker

Kubernetes

Docker

APIGateway

EKS

Descripción del empleo

HP is seeking a Senior MLOps Engineer to design, build, and operate scalable infrastructure for ML models and large language models. You will enable end-to-end deployment from experimentation to production, exposing services through secure endpoints across AWS and Databricks.

The role requires building robust CI/CD pipelines, model-serving infrastructure, observability, governance, rollback mechanisms, and production-grade reliability.