Solink

Staff AI/ML Data Engineer

Solink

full-time

Posted on:

Location Type: Hybrid

Location: OttawaCanada

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Salary

💰 CA$145,000 - CA$180,000 per year

Job Level

About the role

  • Architect and operate telemetry ingestion and trace systems at production scale
  • Define dataset versioning and data modeling standards for AI evaluation
  • Design and enforce evaluation gates that protect model quality in production
  • Own the reliability, observability, and performance of data and evaluation pipelines
  • Set platform standards and guide architectural direction across teams

Requirements

  • Significant production data engineering experience in AI or ML-driven systems (batch and streaming at scale)
  • Deep experience with AWS or GCP data infrastructure and distributed systems
  • Proven ownership of dataset versioning, schema evolution, and data modeling strategy for AI workloads
  • Experience building and operating evaluation pipelines for LLM/VLM or other AI systems (deterministic and model-graded)
  • Strong telemetry, tracing, and observability experience for production AI systems
  • Strong architectural judgment and end-to-end ownership of AI-facing production systems
  • Ability to move quickly under ambiguity and make principled trade-offs.
Benefits
  • Fully paid health & dental (no waiting period) + $500 health spending account for full-time, permanent Solink employees.
  • Monthly reimbursement for fitness, wellness, or mental health programs for all Solink employees.
  • Meaningful equity: Every full-time, permanent employee has a stake in our growth.
  • Advancement is based on contribution, initiative, and the ability to raise the bar.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringAI systemsML systemsdataset versioningdata modelingevaluation pipelinestelemetrytracingobservabilitydistributed systems
Soft Skills
architectural judgmentend-to-end ownershipability to move quicklydecision making under ambiguityprincipled trade-offs