GCP MLOps Engineer for AI Platform & Production

Ford México; Naucalpan de Juárez; Vor Ort; MXN 480.000 - 720.000; Vollzeit

Zusammenfassung

Ford México is seeking an experienced ML Platform Engineer to help build and evolve an MLOps platform on Google Cloud Platform (GCP). You will enable data scientists to turn ideas into production, deploying models and automating pipelines within a cross-functional team.

The role emphasizes designing scalable solutions, partnering with engineers, product managers, and business partners, and mentoring colleagues to raise the capabilities of Ford's AI initiatives.

Qualifikationen

• Degree in Computer Science or related field required; ML/AI knowledge a plus.
• 2–3 years minimum experience with Python and cloud engineering, especially GCP Vertex AI.
• Hands-on with Python-related tools and cloud services; familiar with ML workflow tooling.
• Experience with CI/CD, IaC, and containerized/kubernetes-based environments; strong English.

Aufgaben

• Design and deliver a scalable MLOps platform on GCP for data scientists.
• Deploy ML models, run simulations, and validate performance and reliability.
• Automate deployment, training, and retraining via CI/CD and CT pipelines.
• Build RESTful APIs and integrate systems within containerized/Kubernetes environments.
• Standardize ML development practices; use Git workflows and experimentation.
• Mentor colleagues and promote knowledge sharing in cross-functional teams.

Kenntnisse

English communication

Collaborative

Mentoring teammates

Cross-functional collaboration

Ausbildung

Bachelor's in CS/CE or related

Master's preferred in CS/ML

Tools

Google Cloud Platform

Vertex AI

Docker

Git

Kubernetes

BigQuery

Cloud Storage

Dataflow

Pub/Sub

Bash

PowerShell

Jobbeschreibung

Ford México is seeking an experienced ML Platform Engineer to help build and evolve an MLOps platform on Google Cloud Platform (GCP). You will enable data scientists to turn ideas into production, deploying models and automating pipelines within a cross-functional team.

The role emphasizes designing scalable solutions, partnering with engineers, product managers, and business partners, and mentoring colleagues to raise the capabilities of Ford's AI initiatives.