We are:

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 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 achieve

Are you a fit?

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.

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:

• A High-Impact Environment

• Commitment to Professional Development

• Versátil and Collaborative Culture

• Global Opportunities

• V

📌 Data Scientist (Ciudad de México)
🏢 Wizeline
📍 Ciudad de México