MLOps Engineer

Planitar Inc.; Southwestern Ontario; On-site; CAD 110,000 - 150,000; Full time

Benefits offered by this job

100% employer-paid flexible benefits

Health Spending Account options

DPSP match at 3%

Professional Development Incentive

Opportunities to grow with company

Support from REA Group

Job summary

Planitar, creator of iGUIDE, is hiring its first MLOps Engineer to build end-to-end ML infrastructure for floor-plan generation and automated drafting QA models. The role involves owning the platform from data generation to deployment within Planitar's desktop drafting pipeline and production systems.

You will work on evolving ML pipelines, experiment tracking, and model registries, with responsibilities spanning model evaluation, deployment, and monitoring in a small research team backed by REA

Qualifications

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

Responsibilities

• Build automated evaluation harnesses to score new models and gate 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 rollout/rollback.
• Operate LLM-based agents in production: prompt/versioning, cost and latency tracking.
• Monitor model quality, drift and cost in production.
• Manage GPU compute and CI/CD for ML.

Skills

MLOps experience

Python

C++ codebases

PyTorch workflows

ONNX export

Experiment tracking

Model registry

Docker

CI/CD

AWS

Linux GPU

Ownership in small team

Tools

MLflow

Weights & Biases

DVC

Docker

Job description

At Planitar, 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

A connected future where reliable spatial data enables informed decisions across the property lifecycle.

OUR VALUES

• Integrity: We do the right thing even when it’s hard.
• Teamwork: We are one team, on a big mission.
• Innovation: We value creative solutions for emerging opportunities.
• Accountability: We honour our commitments.

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.

PERKS AND BENEFITS

• 100% employer-paid flexible benefits plan
• Health Spending Account (HSA) or Lifestyle Spending Account (LSA) options
• 3% DPSP match
• 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.