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kadence

Montreal (Administrative Region) / Global

Machine Learning Data Engineer Focused on NLP

Job Description

Drive innovation as a Machine Learning Data Engineer in Montreal, tackling challenges in training-data engineering for advanced AI models. Contribute to developing new pipelines and high-quality datasets.

This unique position emphasizes developing new approaches to data curation and ensuring data quality at scale. By leveraging your expertise in large-scale data processing, you will transform unstructured datasets into pivotal resources for training AI models. Collaborating with a team of AI researchers allows for both individual and collective advancements in machine learning.

Key Responsibilities:

• Create pipelines to convert raw data into training datasets

• Process vast unstructured textual data efficiently

• Establish monitoring systems for data quality during training

• Build tools for data exploration and understanding

• Collaborate with stakeholders for evolving training needs

Requirements:

• Over 5 years in data infrastructure or related fields

• Strong skills in Python and distributed processing

• Experience with PII detection and content-safety measures

• Familiarity with workflows using Airflow or Dagster

• Knowledge of ML classifiers for data quality evaluation

Leverage your training-data expertise to impact the next generation of AI technologies.

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