03 nov
|
Wizeline
|
México
wizeline, 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 integral 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 achieve
sounds awesome, right? Now, let’s make sure you’re a good fit for the role:
key responsibilities
- architect 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.
- location: cdmx
must-have skills
- 5–8+ 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 devops teams.
- experience with feature stores and feature engineering. Automl is a plus, h2o is a plus.
what we offer
- commitment to professional development
- flexible and collaborative culture
- total rewards
- specific benefits are determined by the employment type and location.
#j-18808-ljbffr
📌 Data scientist - ml engineering (México)
🏢 Wizeline
📍 México