MLOps Engineer

Planitar-Inc.; Southwestern Ontario; Hybrid; CAD 90,000 - 150,000; Full time

Benefits offered by this job

Hybrid Work Environment

Professional Development Incentive

Employer-paid benefits

Health Spending Account

Lifestyle Spending Account

DPSP match

Growth opportunities

REA Group backing

Job summary

Planitar-Inc. seeks an experienced MLOps Engineer to join Planitar's Advanced Research Group. You will build and own the infrastructure that trains, evaluates, deploys, and monitors floor-plan generation models for 360° scans.

Responsibilities include automating pipelines, model registry setup, and deploying models into desktop drafting apps. Strong Python, PyTorch, ONNX, and CI/CD experience are required in a small team environment.

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.

Responsibilities

• Build automated evaluation harness that scores new models 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 desktop drafting application and automated pipeline with independent rollout/rollback.
• Operate LLM-based agents in production: prompt and model versioning, cost and latency tracking.
• Monitor model quality, drift and cost in production.
• Manage GPU compute and CI/CD for ML.

Skills

MLOps

Python

C++

PyTorch

ONNX

MLflow

W&B

DVC

Docker

CI/CD

AWS

Linux

Tools

MLflow

Weights & Biases

DVC

ONNX

PyTorch

Docker

AWS

Job description

ABOUT US

AtPlanitar, we build technology that helps people see and understand the world’s spaces more clearly.

We are the creators of iGUIDE, a powerful property technology solution that combines immersive 3D tours, accurate floor plans and reliable spatial data into a single, easy-to-use system. Our cameras and software platform are used by professionals in real estate, insurance, construction and property management to simplify their work and deliver better results.

Planitar recently joined REA Group, one of the world’s leading digital property companies. REA operates Australia’s largest residential and commercial property platforms, including realestate.com.au and has a growing global footprint across Asia and North America. Together, we are shaping the future of property technology, combining Planitar’s deep spatial data expertise with REA’s global scale and innovation engine.

OUR VISION

Aconnectedfuturewherereliablespatialdataenablesinformeddecisionsacrossthepropertylifecycle.

OURVALUES

• Integrity: Wedotherightthingevenwhenit’shard.
• Teamwork: Weareoneteam,onabigmission.
• Innovation: Wevaluecreativesolutionsforemergingopportunities.
• Accountability: Wehonourourcommitments.

ABOUT THE ROLE

Planitar's Advanced Research Group builds the AI that turns 360° scans into floor plans. We arehiring our first MLOps Engineer to build the infrastructure that trains, evaluates, deploys and monitorsour floor-plan generation and automated drafting QA models. You will own this platform end to end.

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 toproduction.
• 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-paidflexiblebenefitsplan
• ComprehensiveHealth&Dentalcoverage
• HealthSpendingAccount(HSA)orLifestyleSpendingAccount(LSA)options
• 3%DPSPmatch
• HybridWorkEnvironment
• Professional Development Incentive
• Opportunitiestogrowaswescale
• ThebackingofaglobalindustryleaderthroughREAGroup

ACCESSIBILITY,INCLUSION&AIDISCLOSURE

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.