MLOps Engineer

Planitar Inc.

. Build an automated evaluation harness that scores every new model and gates releases on regressions .

Posted 10/9/2026full-timeWaterloo • CanadaMid-LevelSenior💰 CA$120,000 - CA$150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in MLOps and ML-focused software engineering, with a strong emphasis on Python programming, model deployment, and automated pipelines. Proficient in managing GPU compute environments and CI/CD processes for machine learning applications.

Highest-signal resume keywords

MLOps ExperiencePython ProgrammingPyTorch Training WorkflowsDocker and CI/CDAWS and Linux GPU Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

MLOpsPythonC++PyTorchONNX ExportExperiment TrackingModel RegistryData VersioningDockerCI/CD

Soft Skills

OwnershipCollaboration

Tools & Technologies

MLflowW&BDVCWorkflow Orchestration

Industry Keywords

Model DeploymentAutomated PipelinesModel Quality MonitoringDrift TrackingCost Tracking

Tech Stack

Tools & technologies

AWSDockerLinuxPythonPyTorchC++

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

4+ years in MLOps, ML platform or ML-focused software engineering, with models taken to production
Strong Python
Ability to work with C++ codebases
PyTorch training workflows and ONNX export
Experience with 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

Benefits

Comp & perks

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