Data Engineer for Data Collection

5 days ago

Vancouver, British Columbia, Canada T-Net British Columbia Full time

Transform Robot Telemetry into ML Training Datasets

Job Summary

We're seeking a skilled DataOps Engineer to join our Data Collection team at T-Net British Columbia. As a DataOps Engineer, you'll gain a comprehensive understanding of our data collection tools and ML training pipelines that power our General Purpose Robots.

The ideal candidate will have proven experience in supporting data lake structures, setting up DataOps processes, and writing data annotation scripts. You'll collaborate with our multi-functional teams to collect, validate, and process large data sets.

  • Develop algorithms to transform robot telemetry into ML training and validation datasets
  • Build and support a secure, extensive, scalable, repeatable, and high-performing data collection platform
  • Systematically augment datasets to increase the accuracy of ML applications

About You

We're looking for a versatile engineer with:

  • Bachelor's degree or higher in Computer Science or related fields
  • 3+ years of experience in a Data Platform Engineer, DataOps, or equivalent role
  • 2+ years of experience with ML frameworks, platforms, and tools

Key Skills

  • Proficiency with Python for data pipeline development
  • Experience developing, optimizing, and maintaining data warehouse solutions
  • Familiarity with MLOps, ML, and deep learning techniques

What We Offer

At T-Net British Columbia, we offer a collaborative and dynamic work environment. As a DataOps Engineer, you'll have the opportunity to work with our multi-functional teams and contribute to the development of our General Purpose Robots.

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