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Data Scientist - ML Engineering

Wizeline
Ciudad de Mexico Posted Oct 8, 2026
Full-time

About this role

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

  • Flexible and Collaborative Culture

  • Global Opportunities

  • Vibrant Community

  • Total Rewards

*Specific benefits are determined by the employment type and location.

Find out more about our culture here.

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