Machine Learning, Data Engineer

🔥 43 minutes ago

🌐 Brazil, Colombia – Remote

🇧🇷 Brazil – Remote 🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Turing

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2018

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Turing is a leading company in the field of artificial intelligence, specializing in the advancement of AGI (Artificial General Intelligence) and the evaluation and training of large language models (LLMs). Turing offers a comprehensive range of AI solutions, including model performance assessments, multimodal capabilities integration, and custom engineering for enterprises looking to optimize their AI operations. The company bridges cutting-edge AI research with practical applications, empowering organizations to leverage advanced AI for various real-world challenges.

📋 Description

• Assess enterprise data quality, including topic coherence, domain depth, completeness, and consistency • Design and automate validation suites for data pipelines, including schema checks, completeness, drift detection, and reconciliation across raw, processed, and sanitized stages • Characterize quality issues for engineering and product action • Design, train, and evaluate ML models such as NER to detect sensitive entities in text and image-based documents • Build replacement pipelines that consistently substitute detected entities across corpus files • Run detection and replacement algorithms over large data volumes • Build adversarial de-identification test sets covering edge cases, obfuscated identifiers, multilingual entities, OCR noise, and evasive formats • Detect company-identifiable information and financial data • Measure and report de-identification performance using precision, recall, leak rates, false-negative audits, and replacement consistency • Implement CI/CD regression gates for data quality and sensitive-data checks • Conduct human-in-the-loop audits and maintain compliance audit trails • Partner with engineering on root-cause analysis and drive fixes to completion

🎯 Requirements

• About 4 to 5 years of hands-on machine learning experience, with ML as the primary background • Strong Python for ML development and data validation (pytest, Great Expectations, Pandera, or similar) • Solid SQL and experience validating data across pipeline stages • Familiarity with HIPAA Safe Harbor for PHI, GDPR/LGPD for PII, PCI DSS for cardholder data, and confidentiality/NDA obligations for company information • Experience building and testing NER or other ML-based detection systems • Experience building labeled evaluation sets, computing precision/recall, and handling non-determinism • Understanding of re-identification risk • Comfort with ambiguity and a fast-moving environment • Skeptical, detail-oriented approach • Computer vision and OCR experience, financial or healthcare data experience, startup experience, LLM/VLM output auditing, synthetic sensitive-data generation, GCP data stack, multi-tenant enterprise data, and compliance reporting are nice to have

🏖️ Benefits

• Full-time remote work arrangement • Opportunity to work at the frontier of AI with leading AI labs • Opportunities to contribute to leading-edge AI research and showcase work at ICLR, ICML, and NeurIPS • Opportunity to apply frontier AI innovation to enterprise business challenges • Collaboration and learning from colleagues with deep AI experience • Startup-speed environment with ownership and impact • Equal opportunity, diverse, inclusive, and authentic workplace

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