Senior Machine Learning Engineer Saige

Build AI-first products remotely across Canada with SandboxAQ as a Senior Machine Learning Engineer focused on Python and model deployment.The senior-level SAIGE engineer owns machine learning from data exploration through production. You will develop LQMs, agentic frameworks, scalable pipelines, and evaluations while rapidly testing practical solutions. Collaboration spans researchers, software engineers, product managers, and user experience researchers.Key Responsibilities:
Design data pipelines for LQM training, validation, and retrainingDevelop and test novel machine learning models and algorithmsEngineer features from complex, large-scale datasetsAnalyze failures and optimize model architecture and hyperparametersTranslate objectives into ML development and deployment roadmapsRequirements:
Five-plus years of postgraduate software development experienceStrong Python expertise with PyTorch, TensorFlow, JAX, NumPy, and PandasExperience building highly available, scalable ML systemsFull ML lifecycle experience through production deploymentProficiency in MLOps, CI/CD, experiment tracking, testing, and version controlApply machine learning engineering, Python, and MLOps expertise to advance SandboxAQ’s SAIGE products from experimentation into production.
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