Data Scientist | Python & Machine Learning. Híbrido (Almusssafes)
Core
Design, train, and evolve entity resolution (Entity Matching) models to improve data quality and precision.
Role type
Machine Learning Engineer (Entity Resolution)
Builds
Production ML models for entity resolution
Domain
Data Engineering / AI
Deliverable
production ML models
Required skills
Python, scikit-learn, pandas, Polars, SQL, BigQuery, MLOps (MLflow, Weights & Biases), Vertex AI, Git, GitHub Actions
Preferred skills
Entity Matching/Resolution, recordlinkage, dedupe, splink, Graph ML, sentence-transformers, FAISS, Active Learning, Feature Store, industrial data
Technologies
Vertex AI, MLflow, Weights & Biases, BigQuery, Polars
Responsibilities
Design, develop, and optimize ML models for entity resolution; deploy models to production ensuring performance and maintainability; continuously improve model behavior based on feedback; collaborate with Data Engineering and Analytics teams; implement MLOps best practices; evolve data architecture and AI solutions
Seniority
Mid-level (3-5 years experience)