As an AI/ML Engineer, you’ll build the models behind this platform, working closely with the founders on GNNs, computer vision, LLMs, and deep learning. You’ll take ML research from prototype to production and work directly with customers to solve real engineering problems.

Key Responsibilities
Build GNNs and knowledge graph systems for engineering data.
Fine-tune LLMs using LoRA/QLoRA and PEFT.
Develop computer vision models for engineering drawings and documents.
Implement graph algorithms for search, routing, clustering, and recommendations.
Own the ML lifecycle: data, training, evaluation, deployment, and monitoring.
Work directly with customers and founders to build production-ready AI solutions.

Requirements
Robust Python and PyTorch experience.
Experience with deep learning, CNNs, and computer vision.
Experience with GNNs/geometric deep learning using PyTorch Geometric, DGL, or equivalent.
Hands-on LLM fine-tuning experience, especially LoRA/PEFT.
Solid problem-solving skills and a high-agency, builder mindset.
Independent project, research, startup, or open-source experience.
Master’s degree preferred.
AEC experience is not required.

📌 Lead Ai Ml Engineer Waterloo (Canada)
🏢 Bestica
📍 Canada