About the job
Wizeline is a global technology solutions provider specializing in AI-driven digital products and platforms. The team works closely with clients to help them extract value from data and artificial intelligence, enabling organizations to adapt and move quickly. Growth, collaboration, and meaningful impact are central to the company’s culture.
Role overview
This Data Scientist - Machine Learning Engineering position is based in Ciudad de Mexico. The role focuses on building and maintaining machine learning infrastructure and deploying advanced models. Projects span a range of AI solutions, including forecasting engines, optimization, and natural language processing. The work takes place in a collaborative environment that values growth and teamwork.
Main responsibilities
- Design and implement machine learning infrastructure, covering pipelines, model serving, monitoring, and governance.
- Lead the deployment of models for forecasting, optimization, and NLP applications.
- Develop CI/CD workflows using Azure Pipelines, MLflow, and Databricks.
- Set up model registry, versioning, lineage, and ensure audit compliance.
- Build monitoring systems to detect model drift and automate retraining processes.
- Mentor MLOps engineers and support integration across different platforms.
- Promote MLOps best practices, with a focus on containerization and observability.
Requirements
- 5–8+ years of experience in ML Engineering, MLOps, or managing large-scale machine learning systems.
- Strong knowledge of Spark, Azure Databricks, MLflow, Kubernetes, and Docker.
- Experience deploying machine learning solutions at the enterprise level, with emphasis on audit and monitoring.
- Understanding of hybrid and multi-cloud infrastructure.
Preferred qualifications
- Experience using AI tools for drafting, analysis, research, and process automation, with the ability to advise on AI adoption and workflow improvements.
- Leadership experience in ML platforms or DevOps teams.
- Work with feature stores and feature engineering; familiarity with AutoML and H2O is a plus.
Benefits
- Work that creates real impact
- Support for ongoing professional development
- Flexible, collaborative workplace culture
- Opportunities for global growth
