Machine Learning / Data Engineer

Requisitos

• About 4 to 5 years of hands-on machine learning experience, with ML as primary background
• Strong Python for ML development and data validation (pytest, Great Expectations, Pandera, or similar)
• Solid SQL and experience validating data across pipeline stages
• Familiarity with sensitive data categories and standards — HIPAA Safe Harbor, GDPR/LGPD, PCI DSS, confidentiality/NDA obligations
• Experience building and testing NER or other ML-based detection systems: labeled eval sets, precision/recall, handling non-determinism

Desejáveis

• Computer vision and OCR experience, especially document pipelines (contracts, statements, invoices, presentations)
• Hands-on experience with financial or healthcare data, including industry-specific privacy requirements
• Startup experience
• Auditing LLM or VLM outputs
• Synthetic sensitive-data generation (PII, PHI, company and financial records)