MLOps Engineer

Planitar, Inc.; Southwestern Ontario; Hybrid; CAD 110,000 - 160,000; Full time

Benefits offered by this job

Flexible benefits

Health and dental coverage

Health Spending Account or Lifestyle

3% DPSP match

Hybrid work environment

Professional development incentive

Growth opportunities

REA Group backing

Job summary

Planitar, Inc. seeks an experienced MLOps Engineer to own the end-to-end platform that trains, evaluates, deploys and monitors floor-plan generation models. Join our Advanced Research Group to build scalable ML infrastructure and automate QA for AI-driven floor plans.

You will run experiment tracking, model registries, data versioning, and ship models into desktop drafting workflows with careful rollout and rollback. Hybrid work in Ontario supports collaboration with a focused research team.

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 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.

Skills

MLOps experience

Python

C++ codebases

PyTorch/ONNX

Experiment tracking

Docker/CI-CD

AWS & Linux GPU

Sole owner of platform

Tools

MLflow

Weights & Biases

DVC

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.

OUR VALUES

• 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 are hiring our first MLOps Engineer to build the infrastructure that trains, evaluates, deploys and monitors our 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 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-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.