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 Strong 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.

📌 Lead AI-ML Engineer (Ontario)
🏢 Bestica
📍 Ontario