At a Glance
- Tasks: Build and manage MLOps infrastructure for AI-driven floor plan generation.
- Company: Join Planitar, a leader in property technology with a global reach.
- Benefits: Enjoy comprehensive health coverage, flexible benefits, and hybrid work options.
- Other info: Be part of a diverse team committed to innovation and growth.
- Why this job: Make an impact in AI and spatial data while working with cutting-edge technology.
- Qualifications: 4+ years in MLOps, strong Python skills, and experience with ML models.
The predicted salary is between 108000 - 132000 $ per year.
ABOUT US
At Planitar, we build technology that helps people see and understand the world’s spaces more clearly.
We are the creators of i GUIDE, 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.
- Py Torch 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
- Comprehensive Health&Dentalcoverage
- Health Spending Account(HSA)or Lifestyle Spending Account(LSA)options
- 3%DPSPmatch
- Hybrid Work Environment
- Professional Development Incentive
- Opportunitiestogrowaswescale
- Thebackingofaglobalindustryleaderthrough REAGroup
- 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.
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MLOps Engineer employer: Planitar-Inc.
At Planitar, we pride ourselves on being an exceptional employer that fosters innovation and teamwork in a dynamic hybrid work environment. Our commitment to employee growth is evident through professional development incentives and comprehensive health benefits, all backed by the global expertise of REA Group. Join us in shaping the future of property technology while enjoying a culture that values integrity and accountability.
