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MLOps Engineer

iGUIDE
Waterloo, CAN
Full-time
Mid · 4+ years experience
Onsite
Discovered 1 weeks ago
awsdockerlinuxmlflowpythonpytorch

Full Job Posting

RESPONSIBILITIES

  • Build an automated evaluation harness that scores every new model and gates releases on
  • regressions.
  • Automate and version the data generation and training pipelines.
  • Set up experiment tracking and a model registry.
  • Package and deploy models into our desktop drafting application and automated pipeline, with independent rollout and rollback.
  • Operate LLM-based agents in production: prompt and model versioning, cost and latency tracking.
  • Monitor model quality, drift and cost in production.
  • Manage our GPU compute and CI/CD for ML.

QUALIFICATIONS

  • 4+ years in MLOps, ML platform or ML-focused software engineering, with models you took to production.
  • Strong Python; able to work with C++ codebases.
  • PyTorch training workflows and ONNX export.
  • Experiment tracking, model registries and data versioning (e.g. MLflow, W&B, DVC).
  • Docker, workflow orchestration and CI/CD.
  • AWS and Linux GPU environments.
  • Comfortable as the sole owner of a platform on a small research team.

NICE TO HAVE

  • LLMOps or agent evaluation experience.
  • Computer vision, 360° imagery or point-cloud data.
  • Shipping ML inside desktop or edge applications.
  • PERKS AND BENEFITS
  • 100% employer-paid flexible benefits plan
  • Comprehensive Health & Dental coverage
  • Health Spending Account (HSA) or Lifestyle Spending Account (LSA) options
  • 3% DPSP match
  • Hybrid Work Environment
  • Professional Development Incentive
  • Opportunities to grow as we scale
  • The backing of a global industry leader through REA Group
  • ACCESSIBILITY, INCLUSION & AI DISCLOSURE
  • Planitar is committed to a diverse, equitable, inclusive workplace and welcomes applications from all backgrounds. This is a back fill position. We provide accommodation under AODA at any hiring stage upon request. In line with Ontario law, we use AI only to summarize interview notes, never to screen, assess, or decide on candidates — all decisions are made by our team. Please note this is a new position.

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