Field Data & AI Engineer – Remote in Toronto

Field Data & AI Engineer – Remote in Toronto

Toronto Full-Time 81000 - 99000 $ / year (est.) Remote
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At a Glance

  • Tasks: Lead data discovery, build production pipelines, and integrate AI solutions for customers.
  • Company: OpsGuru, a forward-thinking tech company focused on data and AI.
  • Benefits: Remote-first work, flexible hours, competitive salary, and travel opportunities.
  • Other info: Exciting role with opportunities for growth and innovation.
  • Why this job: Join a dynamic team and make a real impact in customer environments with cutting-edge technology.
  • Qualifications: Experience in data engineering, machine learning, and strong communication skills.

The predicted salary is between 81000 - 99000 $ per year.

Ops Guru is seeking a Forward Deployed Engineer specializing in data, ML, and AI to embed inside customer environments.

You’ll own delivery from data discovery to production pipelines and model integration.

The role is highly customer-facing, requiring clear communication with business and engineering teams, and entails building modern lakehouses, event-driven systems, and agentic AI solutions using SDD.

Remote first, flexible hours, and competitive CAD compensation, with travel to customer sites

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Field Data & AI Engineer – Remote in Toronto employer: OpsGuru

OpsGuru is an exceptional employer that prioritizes a remote-first work culture, offering flexible hours and competitive compensation in CAD. As a Forward Deployed Engineer, you'll have the opportunity to engage directly with customers, fostering meaningful relationships while working on cutting-edge data and AI solutions. With a strong emphasis on employee growth and innovation, OpsGuru provides a dynamic environment where your contributions can make a significant impact.

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Contact Details:

OpsGuru Recruitment Team

We think you need these skills to ace Field Data & AI Engineer – Remote in Toronto

Data Discovery
Machine Learning (ML)
Artificial Intelligence (AI)
Model Integration
Customer-Facing Communication
Building Lakehouses
Event-Driven Systems