Python, machine learning, and generative AI define this Senior Consultant chance in Vancouver. Build production-ready solutions across Azure, GCP, and AWS. The global professional services firm’s Data & AI practice delivers client-facing ML/AI engineering for complex business challenges. You will design end-to-end solutions, develop models, and operationalize pipelines using cloud platforms and MLOps practices. The work spans forecasting, classification, recommendation, anomaly detection, and GenAI. Key Responsibilities:

Partner with clients to identify high-impact AI and analytics use cases Translate requirements into end-to-end ML/AI solution designs Develop models using Python, scikit-learn, TensorFlow, and PyTorch Build GenAI solutions with Azure, GCP, and AWS platforms Deploy,



monitor, tune, and retrain production models Requirements:

University degree in a relevant technical or quantitative field Three or more years delivering production machine learning solutions Strong Python, statistics, model evaluation, and feature engineering skills Experience with ML frameworks, pipelines, MLOps, and cloud deployment Generative AI, LLM, prompt engineering, or RAG experience Apply machine learning engineering, cloud deployment, and responsible AI expertise to client solutions in Vancouver’s Data & AI practice.

📌 Senior Machine Learning AI Engineer (Winnipeg)
🏢 Toast
📍 Winnipeg