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 Ia C 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 Sage Mager Understanding of different model and its model deployment, monitoring,



and scaling in production environment Required Skills and Qualifications Bachelor's degree in computer science, Engineering, or a related field.
5+ years of experience in MLOps, Dev Ops, 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 on reporting tools like Tableau, looker, big query (SQL) Experience with Ecommerce, understand general digital ecommerce 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 Gen AI to reduce manual process #J-*****-Ljbffr

📌 Sse/Pse- Python/Vertex Ai/Terraform/Kubernetes (Monterrey)
🏢 Confiz
📍 Monterrey