Senior Data Engineer - Machine Learning - GP, Remote: Colombia - Costa Rica, Fulltime

- This position is open to candidates located in Colombia or Costa Rica only -

As a Senior Data Engineer (ML), you will lead the design and implementation of end-to-end data and machine learning solutions from feature engineering to model deployment, working closely with cross-functional engineers in a distributed environment.

This role is hands-on and delivery-focused, with ownership across the full ML lifecycle in a modern GCP-based architecture.

What You’ll Do

Design and build end-to-end ML pipelines using GCP services (Vertex AI, BigQuery, Dataform)

Develop and productionize tabular ML models (e.g., XGBoost or similar)

Implement robust feature engineering pipelines with point-in-time correctness

Ensure reliable batch scoring workflows and production deployment

Partner with engineering and product stakeholders to translate business needs into ML solutions

Optimize data workflows for performance, scalability, and cost efficiency

Contribute to model evaluation, monitoring, and continuous improvement

Collaborate within a distributed team, ensuring clear communication and delivery alignment

Must-Have Qualifications

Strong hands-on experience building and deploying ML solutions on GCP (Vertex AI ecosystem)

Pipelines, Model Registry, Feature Store, Batch Prediction

Proven track record delivering production ML models (not just experimentation)

Solid understanding of classification problems, especially imbalanced datasets

Metrics such as AUC-PR, ROC-AUC, precision@K, calibration

Experience designing feature pipelines with point-in-time accuracy

Avoiding data leakage and training/serving skew

Advanced proficiency in BigQuery

Partitioning, clustering, and cost-aware query design

Experience with data transformation tools (Dataform, dbt, or similar)

Strong Python skills for production systems pandas, scikit-learn, XGBoost, testing practices

Familiarity with ML lifecycle and MLOps practices

Experiment tracking, model versioning, containerized deployment

Nice to Have

Experience with Vertex AI Model Monitoring (drift and skew detection)

Ability to translate model outputs (e.g., SHAP values) into actionable business insights

Experience working with distributed teams across time zones