Python, machine learning, and generative AI define this Senior Consultant prospect in Vancouver. Build production-ready solutions across Azure, GCP, and AWS.

The global qualified 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
Solid 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 Vancouver
🏢 Toast
📍 Vancouver