Data Scientist, Machine Learning Engineering
Real job — pulled straight from Wizeline’s careers page · Verified October 9, 2026 · No reposts.
Job description
Wizeline is hiring a Data Scientist, Machine Learning Engineering — a full-time, based in Ciudad de Mexico role. Apply directly on Wizeline's careers page below.
Data Scientist - ML Engineering
Location: Ciudad de Mexico
Department: Data Science
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.
Get Data Scientist jobs like this→
New roles from thousands of companies land hourly, straight from their careers pages. Get the freshest matches by email so you never miss one.
Email me new jobsSimilar jobs
Frequently asked questions
What skills are required for Data Scientist, Machine Learning Engineering at Wizeline?
The required skills for Data Scientist, Machine Learning Engineering at Wizeline include: Spark, MLflow, Kubernetes, Docker, CI/CD, MLOps.
What is the seniority level for Data Scientist, Machine Learning Engineering at Wizeline?
Data Scientist, Machine Learning Engineering at Wizeline is a Senior / Staff level position.
How do I apply for Data Scientist, Machine Learning Engineering at Wizeline?
You can view the full description and apply for Data Scientist, Machine Learning Engineering at Wizeline on EchoJobs: https://echojobs.io/job/wizeline-data-scientist-ml-engineering-w4yed.