SSE/PSE- Python/Vertex AI/Terraform/Kubernetes

Confiz Limited; Monterrey; Presencial; MXN 732.734 - 1.099.102; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Innovative projects

Collaborative culture

Learning opportunities

Descripción de la vacante

A dynamic tech company in Monterrey is seeking a skilled MLOps Engineer with over 5 years of experience to design and automate ML workflows, enhance model deployment, and improve developer operations using modern cloud and CI/CD tools. The ideal candidate will have a Bachelor's degree in a related field and proficiency in Python. You will work with cutting-edge technologies in a collaborative environment.

Formación

• 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.

Responsabilidades

• 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.
• Collaborate with data scientists to improve developer workflows.

Conocimientos

Python

Problem-solving skills

Attention to detail

Experience with Kubernetes

Basic knowledge of cloud technologies

Educación

Bachelor's degree in computer science, engineering, or a related field

Herramientas

Terraform

Big Query

Tableau

Looker

Descripción del empleo

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 global team of amazing individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast‑growth fintech, and multiple Silicon Valley startups.

What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000‑1:2018 (ITSM) and ISO 14001:2015 (EMS) certified. We have a vibrant culture of learning via collaboration and making workplace fun.

People who work with us work with cutting‑edge technologies while contributing success to the company as well as to themselves.

To know more about Confiz, visit: https://www.linkedin.com/company/confiz/