Lead scalable ML production with MLOps, cloud platforms, and large-scale data pipelines on SandboxAQ’s remote Canada team.
This lead-level Staff Machine Learning Engineer supports SAIGE, SandboxAQ’s AI Generation Engine team. You will take models from experimentation through robust production deployment while establishing solid engineering practices. Your work includes data curation, infrastructure, pre-training, evaluations, fine-tuning, and continuous retraining for LQMs and agentic frameworks.
Key Responsibilities: Manage pipelines for training and continuous model retraining
Optimize architectures, hyperparameters, speed, and accuracy
Define metrics aligned with product objectives
Champion code quality, efficiency, and security standards




Make independent design and implementation decisions
Requirements: Eight or more years of postgraduate software development experience
Highly available and performant ML systems experience
Deep MLOps and ML software best-practices proficiency
Cloud development experience with GCP or AWS
Experience with experiment tracking and automated testing
Apply scalable ML systems expertise, cloud engineering, and MLOps discipline to production-focused work with SandboxAQ.

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📌 Staff MLOps Engineer Large Models (Manitoba)
🏢 Entangled Future
📍 Manitoba