Machine Learning / Data Engineer
Core
Building ML models and validation infrastructure to detect and replace sensitive entities (PII, PHI, CII, financial data) in text and image data to ensure data quality and compliance for downstream agentic AI systems.
Role type
Senior hands-on IC Machine Learning & Data Engineer
Builds
Detection models, validation suites, replacement pipelines, and adversarial test sets for data sanitization
Domain
AI safety, data privacy, enterprise data processing, compliance (HIPAA, GDPR, PCI DSS)
Deliverable
production ML models
Required skills
Python for ML development, SQL, NER model building and evaluation, data validation frameworks (pytest, Great Expectations, Pandera), understanding of re-identification risk, CI/CD integration
Preferred skills
Computer vision and OCR, financial or healthcare data experience, GCP data stack (BigQuery, GCS), synthetic data generation, auditing LLM/VLM outputs
Responsibilities
Design and train ML models to detect sensitive entities in text and images; build pipelines to replace detected entities consistently; design and automate validation suites for data pipelines; build adversarial test sets for de-identification; implement regression gates in CI/CD; run human-in-the-loop audits and maintain compliance evidence
Seniority
Senior, hands-on IC
