Job Description

MLOps Engineer – Hybrid (3 days On-site) in Guadalajara

We are looking for an experienced MLOps Engineer to join us, supporting the design, deployment, and operation of scalable Machine Learning solutions across cloud and distributed environments. This role focuses on building robust ML pipelines, deploying models into production, and enabling end-to-end ML lifecycle management while collaborating closely with data science, engineering, and business teams.

The ideal candidate has strong hands‑on experience in MLOps, cloud platforms (AWS), CI/CD automation, and container orchestration, with a solid understanding of ML training, inference, and data engineering workflows.

Key Responsibilities

  • Build, deploy, and maintain ML pipelines and production‑ready machine learning models.

  • Define and develop APIs and MCP servers to support ML solutions.

  • Work on projects leveraging data science, ...

Apply for this Position

Ready to join Xideral? Click the button below to submit your application.

Submit Application