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
