Machine Learning / Data Engineer

2 days, 4 hours ago
Full-time
Mid Level
Software Development
Turing

Turing

Turing connects businesses with deeply vetted developers and teams using AI technology to provide custom application development and software engineering services for groundbreaking products.

Internet Software & Services
251-1K
$53M raised

Description

  • Analyze enterprise data quality across connectors, including coherence, completeness, consistency, and domain depth.
  • Design and automate validation suites for schema checks, drift detection, completeness, and reconciliation across pipeline stages.
  • Build, train, and evaluate ML models to detect PII, PHI, CII, and financial data in text and images.
  • Develop replacement pipelines that preserve entity consistency across files while keeping sanitized data useful.
  • Process large data volumes for downstream agentic task development.
  • Create adversarial de-identification test sets covering obfuscation, multilingual entities, OCR noise, and evasive formats.
  • Measure precision, recall, leak rates, false-negative rates, and replacement consistency by data class.
  • Implement CI/CD regression gates and sampling-based human audits, maintaining compliance evidence.
  • Partner with engineering on root-cause analysis and drive remediation of data-quality issues and leaks.

Requirements

  • Approximately 4–5 years of hands-on machine learning experience, with ML as the primary background.
  • Strong Python skills for ML development and data validation, using tools such as pytest, Great Expectations, or Pandera.
  • Solid SQL skills and experience validating data across pipeline stages.
  • Experience building and evaluating NER or other ML-based detection systems, including labeled evaluation sets and precision/recall analysis.
  • Knowledge of sensitive-data standards including HIPAA Safe Harbor, GDPR/LGPD, PCI DSS, and confidentiality obligations.
  • Understanding of re-identification risks involving individuals, organizations, and combined data points.
  • Detail-oriented, skeptical approach and comfort working in ambiguous, fast-moving environments.
  • Computer vision and OCR experience, especially with document-processing pipelines (preferred).
  • Experience with financial or healthcare data, LLM/VLM auditing, synthetic sensitive-data generation, or compliance reporting (preferred).
  • Familiarity with GCP tools such as BigQuery, GCS, and Cloud Run jobs, CI/CD, and multi-tenant enterprise data (preferred).

Benefits

  • Full-time remote role based in Brazil or Colombia.
  • Opportunity to work at the frontier of AI with leading labs and enterprise customers.
  • Opportunities to contribute to AI research and showcase work at conferences such as ICLR, ICML, and NeurIPS.
  • Collaboration with experienced AI professionals from leading technology companies.
  • Startup-paced environment with substantial ownership and impact.
  • Equal opportunity, diverse, and inclusive workplace.

Interested in this position?

Apply directly on the company website

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