29 ago
|
Wizeline
|
Heroica Puebla de Zaragoza
29 ago
Wizeline
Heroica Puebla de Zaragoza
We are:Wizeline, a integral AI-native technology solutions provider, develops cutting-edge,AI-powereddigital 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 ofgrowth, collaboration,andimpact.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.Must-have Skills5–8+ years in ML Engineering, MLOps, or high-scale ML systems.Deep expertise in Spark, Azure Databricks, MLflow, Kubernetes, and Docker.Proven track record deploying ML at enterprise scale with audit and monitoring layers.Familiarity with hybrid/multi-cloud infrastructure.Nice-to-have:AI Tooling Proficiency : Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation.
Provide recommendations on effective AI use and identify opportunities to streamline workflows.Leadership experience in ML platform or Dev Ops teams.Experience with feature stores and feature engineering.
Auto ML is a plus, H2 O is a plus.What we offer:A High-Impact EnvironmentCommitment to Professional DevelopmentFlexible and Collaborative CultureGlobal OpportunitiesVibrant CommunityTotal Rewards*Specific benefits are determined by the employment type and location.
📌 Data Scientist - Ml Engineering (Heroica Puebla de Zaragoza)
🏢 Wizeline
📍 Heroica Puebla de Zaragoza