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 SageMager
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, 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 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 GenAI to reduce manual process
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📌 Sse/Pse- Python/Vertex Ai/Terraform/Kubernetes (Monterrey)
🏢 Confiz
📍 Monterrey