Build AI-first Saa S products remotely in Canada with Python, Large Quantitative Models, and agentic frameworks at Sandbox AQ.As a lead-level Staff Machine Learning Engineer, you will own the full ML lifecycle within the AI Generation Engine team. You will rapidly prototype and validate models, connect AI research with production software, and help create real-world MVPs. The work spans data exploration, model development, evaluation, fine-tuning, and scalable deployment.Key Responsibilities: Design data pipelines for LQM and agentic framework trainingDevelop and rigorously test novel ML modelsEngineer features from complex, large-scale datasetsAnalyze model behavior, performance, and failure modesTranslate objectives into ML development roadmapsRequirements: Bachelor's degree or equivalent experience in a relevant fieldEight or more years of postgraduate software development experienceStrong Python, Py Torch, Tensor Flow, JAX, Num Py, and Pandas expertiseExperience with scalable, highly available ML systemsProficiency in MLOps, CI/CD, testing, tracking, and version controlBring full-lifecycle ML leadership, scalable engineering, and Python expertise to Sandbox AQ's AI-first product development.#J-18808-Ljbffr

📌 Staff Machine Learning Engineer Ai Saas (Winnipeg)
🏢 Entangled Future
📍 Winnipeg