Engineer massive text datasets with Python and distributed processing at Law Zero 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 datasetsImplement deduplication, scoring, filtering, metadata extraction, and PII scrubbingMonitor quality, guardrails, alerting, leakage,



and dataset provenanceAcquire text corpora and analyze coverage gaps systematicallyDevelop researcher tools for dataset exploration and queryingRequirements: Computer science, software engineering, or related degreeFive-plus years processing massive unstructured text datasetsPython proficiency and production-grade data-processing experienceDistributed frameworks such as Spark, Ray, or FlinkPipeline orchestration experience with Airflow, Prefect, or DagsterBring large-scale data processing, machine learning, and quality engineering expertise to Law Zero’s Scientist AI data pipeline.#J-18808-Ljbffr

📌 Senior Machine Learning Data Engineer (Montreal)
🏢 LoiZéro
📍 Montreal