Jobs in Monterrey, United States

Experience Required in:

1. Build data ingestion and data transformation infrastructure to stream appropriate data from source into analytic, Client and AI applications.
2. Set up and automate infrastructure to facilitate Data Science development, integration, and deployment such as CI CD, model health monitoring, automated triggers, model registry, feature stores, etc.
3. Familiarity with machine learning pipelines across the entire MLOps process, including training models and deploying the business ML models built by data scientists to production with the supporting infrastructure.
4. Apply software engineering rigor and best practices to machine learning, including CI CD, automation, monitoring, and scaling solutions.
5. Experience in pipe development in Azure DevOps.
6. IAC experience.

Requirements:

1. 5 years of experience with Microsoft Azure Data Factory.
2. Experience in Azure DevOps.
3. Advanced level of English.
4. Familiarity with MLOps.

Monterrey: 1-2 times a week in the office.

WE OFFER: Competitive salary, Payroll + Law and Superior Benefits.

Work area: Only candidates who live in Monterrey.