Data Scientist - ML Engineering
Wizeline · Mexico City, Mexico
Tailor my CV for this job — freeWe AreWizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.With the right people and the right ideas, there’s no limit to what we can achieveAre you a fit?Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:Key ResponsibilitiesArchitect end-to-end ML infrastructure across pipelines, serving, monitoring, and governance.Lead deployment of high-impact models (forecasting engines, optimization solvers, NLP models).Design advanced CI/CD workflows using Azure Pipelines, MLflow, and Databricks.Implement model registry, versioning, lineage, and audit compliance.Build monitoring systems for model drift and retraining automation.Mentor MLOps engineers and guide cross-functional platform integration.Drive adoption of MLOps best practices, from containerization to observability.
Provide recommendations on effective AI use and identify opportunities to streamline workflows.Leadership experience in ML platform or DevOps teams.Experience with feature stores and feature engineering. AutoML is a plus, H2O is a plus.What We OfferA High-Impact EnvironmentCommitment to Professional DevelopmentFlexible and Collaborative CultureGlobal OpportunitiesVibrant CommunityTotal RewardsSpecific benefits are determined by the employment type and location.Find out more about our culture here.