Publié il y a 25 jours
MLOps Engineer
@ Planitar
Waterloo, Ontario
En bref
Planitar is hiring its first MLOps Engineer to build and own the infrastructure that trains, evaluates, deploys and monitors its floor-plan generation and drafting QA models. The role is full-time, hybrid, and sole ownership of the platform on a small research team. It requires 4+ years in MLOps or ML-focused software engineering, with Python, PyTorch, Docker, AWS and Linux GPU experience.
Responsabilités :
- Build automated evaluation harness gating model releases
- Automate and version data generation and training pipelines
- Set up experiment tracking and model registry
- Package and deploy models with independent rollout and rollback
- Operate LLM-based agents in production and monitor quality, drift and cost
Résumé des exigences :
- 4+ years in MLOps, ML platform or ML-focused software engineering
- Strong Python; able to work with C++ codebases
- PyTorch training workflows and ONNX export
- Docker, workflow orchestration and CI/CD
- AWS and Linux GPU environments
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · bamboohr
- Date publiée par l’employeur
- 2026-10-12
- Première détection par notre source
- 2026-10-09
- Mise à jour du dossier source
- 2026-10-30
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 4 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Avantages mentionnés | Horaire flexible, Régime de retraite, Prime de rendement |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Planitar
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Makers of iGUIDE®
Description complète de l’entreprise
Planitar Inc. is the maker of iGUIDE®, a proprietary camera and software platform for documenting properties and delivering immersive 3D virtual tours and detailed property information, including accurate floor plans and reliable measurements. iGUIDE is now available across Australia as part of the REA Group, enabling local real estate professionals to document properties with trusted accuracy and immersive 3D experiences.
- Abonnés LinkedIn
- 4 579
- Personnes associées sur LinkedIn
- 182
- Bureaux déclarés
- 560 Parkside Drive, Waterloo, ON N2L 5Z4, CA
- 301 King Street East, Suite 301, Kitchener, Ontario N2G 2L2, CA
- Catégories d’activité
- CAD
- Mapping Services
- Photography
- Commercial Real Estate
- Software
- Hardware
- 3D Technology
- Property Management
- Real Estate
- Navigation
- Autres noms enregistrés
- Planitar
- Planitar Inc.
- Spécialités
- Floor Plans
- Room Measurements
- Floor Areas
- 3D Tour
- Digital Media
- Real Estate Technology
- ANSI Z765
- and Virtual Tours
- Le profil indique une agence de recrutement
- Non
Planitar Inc. is the maker of iGUIDE®, a proprietary camera and software platform for documenting properties and delivering immersive 3D virtual tours and detailed property information, including accurate floor plans and reliable measurements. iGUIDE is now available across Australia as part of the REA Group, enabling local real estate professionals to document properties with trusted accuracy and immersive 3D…
| Champ | Valeur |
|---|---|
| Secteur | Measuring and Control Instrument Manufacturing |
| Taille | 51-200 employees |
| Siège social | Waterloo, ON |
| Type d’organisation | Privately Held |
| Fondée en | 2012 |
| Spécialités | Floor PlansRoom MeasurementsFloor Areas3D TourDigital MediaReal Estate TechnologyANSI Z765and Virtual Tours |
| Offres sur Jobsy | 13 |
| Voir la page |
ABOUT US
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.
- Shipping ML inside desktop or edge applications.
PERKS AND BENEFITS
- 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
ACCESSIBILITY, INCLUSION & AI DISCLOSURE
Planitar is committed to a diverse, equitable, inclusive workplace and welcomes applications from all backgrounds. 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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