Applied Ai Specialist – Data Systems

Element Fleet Management

Toronto, Canada
Base: 76,300 - 104,900 annually; bonus/equity: not...
Build and maintain data pipelines
Prepare curated datasets
Develop and operationalize data workflows
Build and maintain production-grade data foundations that directly enable machine learning model training, experimentation, and deployment

Job Summary

  • Build and maintain production-grade data foundations that directly enable machine learning model training, experimentation, and deployment.
  • Independently own small AI-ready datasets, feature pipelines, and data services that power AI-enabled products.
  • Contribute to code reviews, Git workflows, testing practices, and technical documentation.

Matching Summary

Build and maintain production-grade data foundations that directly enable machine learning model training, experimentation, and deployment.

Salary

Base: 76,300 - 104,900 annually; Bonus/Equity: Not specified; Benefits: Comprehensive health and welfare benefits

Skills & Requirements

Must-have

  • build and maintain data pipelines
  • prepare curated datasets
  • develop and operationalize data workflows
  • build, maintain, and optimize ETL/ELT pipelines
  • implement monitoring and alerting
  • Python and SQL proficiency

Nice-to-have

  • active interest in emerging AI tools
  • adaptable and willing to expand into adjacent AI engineering work
  • welcomes feedback and learns quickly
  • familiarity with vector databases
  • familiarity with graph databases

Key Requirements

  • 1–3 years of hands-on experience
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent practical experience)
  • Demonstrated experience supporting ML workflows
  • Familiarity with ML frameworks
  • Experience working with cloud platforms

Work Rights

Not specified

Tailored Resume

Cover Letter