We are seeking a skilled MLOps Engineer with 5+ years of experience to design, automate, and optimize end-to-end ML workflows, drive efficient model deployment and monitoring, and enhance developer operations across modern cloud, CI/CD, and data reporting ecosystems.

Responsibilities
- Build tools for automation around ML workflows orchestration and model deployments using CI/CD workflows
- Automate infrastructure deployments and tool configurations using Terraform or similar IaC tools
- Write clean, maintainable code in Python, Go and other object-oriented programming languages (e.g., Java).
- Troubleshoot and resolve issues related to ML workflow deployments
- Generate and maintain operational reporting pipeline through tools like Big Query, Looker and Tableau.
- Collaborate with data scientist to improve developer workflows and ensure seamless integration with tools.
- Hands‑on experience with Vertex AI, or other similar platforms like Amazon SageMaker
- Understanding of different models and their deployment, monitoring, and scaling in production environments





Required Skills and Qualifications
- Bachelor's degree in computer science, engineering, or a related field.
- 5+ years of experience in MLOps, DevOps, or a related role.
- Strong problem‑solving skills and attention to detail.
- Ability to work in a fast‑paced, dynamic environment.
- Proficiency in Python.
- Basic knowledge of reporting tools like Tableau, Looker, Big Query (SQL).
- Experience with Ecommerce, understanding general digital e‑commerce concepts.
- Experience with Kubernetes or other containerized orchestration platforms.
- Basic knowledge of cloud technologies (e.g., AWS, GCP).
- Familiarity with security best practices in cloud and containerized environments.
- Ability to write unit tests, integration tests, and provide clean, reusable code.
- Passion for utilizing GenAI to reduce manual process.

We have a general team of amazing individuals working on highly innovative enterprise projects

📌 SSE/PSE- Python/Vertex AI/Terraform/Kubernetes (Monterrey)
🏢 Confiz
📍 Monterrey