Senior MLOps Engineer – AI Infra (Remote, Flexible)

Oceans Code Experts; Ciudad de México; Híbrido; MXN 1,454,000 - 2,182,000; Jornada completa

Descripción de la vacante

A technology consulting firm is seeking a seasoned MLOps Engineer / AI Infrastructure Specialist to drive AI/ML deployment and scalability. The role involves collaborating with data scientists, managing MLOps pipelines, and leveraging cloud platforms like AWS SageMaker. This full-time position offers a flexible remote work policy, catering to various schedules, while requiring great English proficiency and over 8 years of relevant experience. Ideal candidates will excel in Python and container orchestration with Docker and Kubernetes.

Formación

• 8+ years of experience as a MLOps Engineer / AI Infrastructure Specialist.
• Proficient in Python and deploying ML models.
• Deep experience with Docker and Kubernetes.
• Strong background in CI/CD pipeline management.
• Experience with cloud-based ML platforms.

Responsabilidades

• Design and maintain scalable MLOps pipelines.
• Automate workflows with CI/CD tools.
• Manage containerized environments using Docker.
• Collaborate with teams to operationalize ML models.
• Monitor and manage models using cloud platforms.

Conocimientos

Python

CI/CD pipelines

Docker

Kubernetes

English proficiency (B2+)

Herramientas

TensorFlow

PyTorch

AWS SageMaker

Azure ML

Vertex AI

Descripción del empleo

A technology consulting firm is seeking a seasoned MLOps Engineer / AI Infrastructure Specialist to drive AI/ML deployment and scalability. The role involves collaborating with data scientists, managing MLOps pipelines, and leveraging cloud platforms like AWS SageMaker. This full-time position offers a flexible remote work policy, catering to various schedules, while requiring great English proficiency and over 8 years of relevant experience. Ideal candidates will excel in Python and container orchestration with Docker and Kubernetes.