Ingénieur ou ingénieure de recherche en IA
Core
Designing and deploying generative AI solutions, specifically large language models (LLMs) and reinforcement learning applications, for Canadian enterprises.
Role type
Senior Applied AI Research Engineer (Generative AI & LLMs)
Builds
Production-ready generative AI applications, fine-tuned LLMs, and scalable inference services for enterprise clients.
Domain
Artificial Intelligence, Generative AI, Large Language Models, Reinforcement Learning
Deliverable
production ML models | product features
Required skills
Python, PyTorch, Hugging Face Transformers, Reinforcement Learning (PPO, DPO, GRPO), Distributed Training (DeepSpeed, FSDP), LLM Inference (vLLM), MLOps, Cloud Infrastructure (AWS/GCP/Azure)
Preferred skills
Human/RLAIF, Open Source AI contributions, Model Scaling Laws, Responsible AI
Technologies
Hugging Face, TRL, DeepSpeed, Accelerate, FSDP, vLLM, W&B, MLflow, LangChain, AutoGen, PyTorch
Responsibilities
Collaborate with product managers to design AI solutions; Research, prototype, and develop generative AI applications; Establish evaluation frameworks for model quality and reliability; Debug and optimize LLM applications using RL and software engineering practices; Train and fine-tune LLMs using Hugging Face transformers; Manage distributed training workflows; Deploy and optimize inference services; Contribute to scalable MLOps pipelines; Ensure compliance with privacy and responsible AI guidelines.
Seniority
Mid-Senior, hands-on IC