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Machine Learning Engineer

💼 Full-time🗓 2026-09-12 → 2026-09-25

Core

Building, maintaining, and scaling production ML pipelines for entity extraction and data element classification across diverse data types (text, documents, relational data, OCR).

Role type

Senior Machine Learning Engineer (NLP/Entity Classification)

Builds

Production ML pipelines for entity classification and data element identification

Domain

Data Security / AI / NLP

Deliverable

production ML models

Required skills

NLP systems, supervised entity classification models, Python, ML tooling, CI/CD integration, evaluation and monitoring frameworks, regression testing

Preferred skills

Experience moving from research prototypes to production, operational monitoring best practices, model versioning

Technologies

Python, ML tooling

Responsibilities

Lead building and scaling production ML pipelines for entity extraction; Partner with data scientists to translate experiments into deployed systems; Implement evaluation, monitoring, and regression testing frameworks; Drive incremental improvements to classification models; Advocate for best practices around model deployment and versioning

Seniority

Senior, hands-on IC

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