Remote Senior ML & Data Engineer - Data Quality & Privacy

Turing; Norte; Remote; COP 388.425.000 - 582.637.000; Vollzeit

Benefits dieser Stelle

Frontier AI work

Conference exposure

Startup pace

Zusammenfassung

Turing is hiring a Senior ML & Data Engineer focused on Data Quality and Sensitive Data Compliance. You will own detection models for PII/PHI and build validation, auditing, and de-identification pipelines.

This hands-on IC role involves modeling, evaluating, and automating data-sanitization processes with a strong emphasis on privacy and auditability. You will collaborate with a senior ML lead to ensure robust data handling, minimal leakage, and scalable compliance across large enterprise

Qualifikationen

• 4–5 years of hands-on machine learning experience as a primary background.
• Strong Python for ML development and data validation (pytest, Great Expectations, Pandera).
• Solid SQL and experience validating data across pipeline stages.
• Familiarity with sensitive data categories and relevant standards (HIPAA Safe Harbor, GDPR/LGPD, PCI DSS).
• Experience building and testing ML-based detection systems (NER).
• Understanding re-identification risk and how details reveal an organization or individual.
• Ability to work in a fast-moving environment with a skeptical, detail-oriented approach.

Aufgaben

• Design, train, and evaluate ML models that detect sensitive entities in text and images.
• Build validation pipelines for data quality and de-identification across data stages.
• Implement regression gates in CI/CD for data quality and sensitive-data checks.
• Run adversarial test sets and audits to ensure robust data sanitization.
• Collaborate with ML lead to ensure compliance and audit trails.

Kenntnisse

Python for ML

pytest

Great Expectations

Pandera

SQL

HIPAA/GDPR

NER models

Re-identification risk

Ambiguity tolerance

Tools

Great Expectations

Pandera

Pytest

Jobbeschreibung

Turing is hiring a Senior ML & Data Engineer focused on Data Quality and Sensitive Data Compliance. You will own detection models for PII/PHI and build validation, auditing, and de-identification pipelines.

This hands-on IC role involves modeling, evaluating, and automating data-sanitization processes with a strong emphasis on privacy and auditability. You will collaborate with a senior ML lead to ensure robust data handling, minimal leakage, and scalable compliance across large enterprise