Engineer massive text datasets with Python and distributed processing at LawZero in Montreal, supporting Scientist AI training. Shape high-signal data pipelines at scale.
As a Senior Machine Learning Data Processing Developer, you will work across data engineering, curation, and machine learning. Build production pipelines for web-scale datasets, with deduplication, quality scoring, filtering, privacy controls, and provenance. Partner with Research, Engineering, and Legal/Governance teams to translate evolving requirements into reliable data systems.
Key Responsibilities: Build and scale pipelines transforming raw web-scale data into training datasets
Implement deduplication, scoring, filtering, metadata extraction, and PII scrubbing
Monitor quality, guardrails, alerting, leakage, and dataset provenance




Acquire text corpora and analyze coverage gaps systematically
Develop researcher tools for dataset exploration and querying
Requirements: Computer science, software engineering, or related degree
Five-plus years processing massive unstructured text datasets
Python proficiency and production-grade data-processing experience
Distributed frameworks such as Spark, Ray, or Flink
Pipeline orchestration experience with Airflow, Prefect, or Dagster
Bring large-scale data processing, machine learning, and quality engineering expertise to LawZero’s Scientist AI data pipeline.

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📌 Senior Machine Learning Data Engineer (Quebec City)
🏢 LoiZéro
📍 Quebec City