Toronto — ML engineering and integrations.
Innovent's ML engineering and customer integration office. The team that fine-tunes vision models per site, builds time-series forecasters and ships retail customer success.
The brief
- 01Production ML, not research ML. Toronto engineers ship models to production — not papers to conferences. Different discipline, different bar.
- 02Camera-to-RFID fusion is hard. Multi-modal fusion is the bar for vision in industrial environments. Calibration, drift, retraining — all non-trivial.
- 03Continuous evaluation. Models that work today drift tomorrow. The discipline is shadow deployment and continuous evaluation.
- 04Retail rollouts at scale. Retail customer success means shipping into 2,400+ stores. Project leadership matters.
What we ship.
ML engineering
Vision, forecasting, optimization, anomaly. Per-site fine-tuning. Continuous evaluation against ground truth.
Object graph engineering
Typed graph runtime engineering. Schema registry. Temporal queries.
Retail customer success
Implementation leadership for retail rollouts — 2,400+ store deployments.
Vision pipeline ownership
Camera-to-RFID fusion, per-site fine-tuning, edge inference deployment.
Multi-region partnership
Tight partnership with LA architecture, Lahore core engineering, Dubai solutions.
Hybrid pattern
Tuesday + Thursday in-office at the Toronto office. Heads-down days protected for ML work.
Toronto is where the models that run on the edge get shaped. The team is small, the bar is high, and the customer impact is direct.
The outcome.
- 013 open roles — ML Engineer for Computer Vision, Engineer for Object Graph, Implementation Lead for Retail
- 02ML engineering — vision, forecasting, optimization
- 03Per-site fine-tuning and continuous evaluation
- 04Retail rollout leadership across 2,400+ stores
- 05Multi-region engineering partnership
Bring Innfini into your operation.
A 60-minute briefing with our solutions team. We walk your environment, your systems, and the workflows where this delivers.