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Machine Learning / Data Engineer

TuringBrazil; Colombia, Huila, Colombia; São Paulo, BrazilFrontier Data Operations
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Salary
Not listed
Job type
Full-time
Experience
Senior · 4+ yrs
Posted
6 Oct 2026
Status
Open · checked 7d ago

About this role

This is a full-time remote role based in Brazil or Colombia for a Senior Machine Learning and Data Engineer at Turing. This position focuses on data quality and sensitive data compliance, making it an ideal fit for an engineer with a strong background in machine learning and data validation who wants to build robust detection and sanitization systems.

Role Overview

Turing is hiring a Senior ML & Data Engineer specializing in Data Quality & Sensitive Data Compliance on a full-time remote basis in Brazil or Colombia. The professional in this position will own the data sanitization layer to ensure that information entering downstream systems contains no sensitive details and maintains high quality standards. This is a hands-on individual contributor role with a QA mindset, working closely with a senior machine learning lead without client-facing responsibilities.

Key Responsibilities

Conduct deep dives into enterprise data to assess topic coherence, domain depth, completeness, and consistency across connectors.
Design and automate validation suites for data pipelines, including schema checks, completeness, drift detection, and reconciliation across raw, processed, and sanitized stages.
Surface and characterize quality issues to enable engineering and product action.
Design, train, and evaluate machine learning models, including Named Entity Recognition and other approaches, to detect sensitive entities across text and image documents.
Build replacement pipelines that substitute detected entities with coherent alternatives consistently across files.
Run algorithms over large volumes of data to prepare it for downstream agentic task building.
Build adversarial test sets for de-identification across sensitive data classes, covering edge cases, obfuscated identifiers, multilingual entities, OCR noise, and formats designed to bypass detectors.
Focus specifically on company identifiable information and financial data to prevent re-identification risks.
Measure and report de-identification performance by data class, tracking entity-level precision and recall, leak rates, false-negative audits, and replacement consistency.
Implement regression gates in CI/CD to prevent pipeline changes from shipping without passing data quality and sensitive-data checks.
Run sampling-based human-in-the-loop audits and maintain compliance audit trails.
Partner with engineering on root-cause analysis for inconsistencies or leaks and drive fixes to closure.

Requirements

Approximately 4 to 5 years of hands-on machine learning experience with ML as the primary background.
Strong Python skills for machine learning development and data validation utilizing tools such as pytest, Great Expectations, or Pandera.
Solid SQL skills and experience validating data across pipeline stages.
Familiarity with sensitive data categories and relevant standards, including HIPAA Safe Harbor, GDPR, LGPD, PCI DSS, and NDA obligations.
Experience building and testing Named Entity Recognition or other ML-based detection systems, building labeled eval sets, computing precision and recall, and handling non-determinism.
Understanding of re-identification risk regarding how innocuous details reveal organizations or individuals.
Comfort with ambiguity and a fast-moving environment.
A skeptical and detail-oriented approach to verification.

Nice to Have

Computer vision and OCR experience in building, scaling, and evaluating document pipelines for contracts, statements, invoices, presentations, and internal documents.
Hands-on experience with financial or healthcare data and their specific privacy requirements.
Startup experience.
Auditing large language model or vision-language model outputs.
Synthetic sensitive-data generation for PII, PHI, company, and financial records.
Familiarity with the Google Cloud Platform data stack, including BigQuery, Google Cloud Storage, and Cloud Run jobs, along with CI/CD integration.
Experience handling multi-tenant enterprise data with strict customer confidentiality requirements.
Compliance reporting or working with auditors.

Skills and Tools

Python
SQL
Pytest
Great Expectations
Pandera
Google Cloud Platform
BigQuery
Google Cloud Storage
Cloud Run jobs
Machine Learning
Named Entity Recognition
Optical Character Recognition

About the Company

Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing partners with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks. The organization also collaborates with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and consumer packaged goods to build and deploy end-to-end agentic AI systems inside mission-critical workflows.

How to Apply

Interested candidates should apply directly on the official Turing careers page.

Skills and tech stack

PythonSQLpytestGreat ExpectationsPanderaBigQueryGoogle Cloud StorageCloud RunLLMComputer VisionGCPReinforcement LearningMachine Learning

Questions candidates ask

Where is this job located?

This is a full-time remote role based in Brazil or Colombia.

What is the primary focus of the role?

The role focuses on data quality and sensitive data compliance, involving the creation of machine learning models to detect and replace sensitive entities like PII, PHI, CII, and financial data at scale.

How many years of experience are required?

The position requires approximately 4 to 5 years of hands-on machine learning experience with ML as the primary background.

Does this role involve client-facing responsibilities?

No, this is a hands-on individual contributor engineering role with no client-facing responsibilities.

What tools and technologies are mentioned for data validation?

Mentioned tools include Python, pytest, Great Expectations, Pandera, and SQL, along with the GCP data stack.

Ready to apply?

The application is on the official Turing careers page.

Apply on company site