Senior ML & Data Engineer: Data Quality & Privacy

turing; United States; Remote; USD 70,000 - 110,000; Full time

Benefits offered by this job

Remote work

Job summary

Turing is seeking a Senior ML & Data Engineer focused on Data Quality and Sensitive Data Compliance. This remote role supports Brazil or Colombia-based teams, building ML models to detect sensitive entities in text and images and replacing them consistently while maintaining data utility.

You’ll design validation suites, run large-scale audits, and collaborate with an ML lead to ensure de-identification performance and CI/CD data-quality gates are robust.

Qualifications

• 4–5 years of hands-on ML experience with ML as primary background.
• Strong Python for ML development and data validation (pytest, Great Expectations, Pandera).
• Solid SQL and data validation across pipeline stages.
• Familiarity with sensitive data categories and relevant standards (HIPAA, GDPR, PCI).
• Experience building/testing ML-based detection systems (NER, etc.).
• Understand re-identification risk and data leakage risks.
• Detail-oriented, skeptical mindset in a fast-moving environment.

Responsibilities

• Design, train, and evaluate ML models to detect sensitive entities in text and images.
• Build replacement pipelines ensuring consistent mapping of entities across files.
• Develop validation suites for data pipelines and CI/CD data-quality gates.
• Run audits and measure de-identification performance with precision/recall metrics.
• Collaborate with engineering to address data quality issues and leaks.

Skills

ML experience

Python for ML

Data validation

SQL

Re-identification risk

Ambiguity tolerance

Detail-oriented

Tools

pytest

Great Expectations

Pandera

Job description

Turing is seeking a Senior ML & Data Engineer focused on Data Quality and Sensitive Data Compliance. This remote role supports Brazil or Colombia-based teams, building ML models to detect sensitive entities in text and images and replacing them consistently while maintaining data utility.

You’ll design validation suites, run large-scale audits, and collaborate with an ML lead to ensure de-identification performance and CI/CD data-quality gates are robust.