Python, machine learning, and generative AI define this Senior Consultant opportunity 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
- 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 (Vancouver)
🏢 Toast
📍 Vancouver