Job DescriptionToast is recruiting on behalf of a global professional services firm with a large Canadian presence and thousands of professionals across the country, for a Senior Consultant, ML/AI Engineer to join its Data & AI practice in Vancouver. The firm helps some of Canada’s largest organizations solve complex business challenges, and its Data & AI team builds and scales machine learning and generative AI solutions for clients across industries. In this hands-on, client-facing role, you will turn advanced analytics, ML, and Gen AI use cases into secure, production-ready solutions across on-prem and cloud environments, with a focus on Azure alongside GCP and AWS.Responsibilities Partner with clients to understand their business problems and identify where AI and advanced analytics can make an impactTranslate business and analytical requirements into end-to-end ML/AI solution designsCarry out ML/AI engineering work including exploratory data analysis, data preparation, and model development (forecasting, classification, recommendation, anomaly detection) using Python and frameworks such as scikit-learn, Tensor Flow, Py Torch, Azure ML Studio, and Databricks MLflowBuild and optimize AI and Gen AI solutions using platforms such as AI Foundry, GCP Vertex AI, AWS Sage Maker, and BedrockOperationalize AI/ML pipelines using MLOps best practices, including model deployment, versioning, CI/CD, automated testing, and monitoringImplement model monitoring, performance tuning, drift detection, and retraining strategies in productionWork with data engineers to ensure reliable,



scalable data pipelines that support model training and inferenceApply responsible AI principles including explainability, bias detection, model governance, and security and privacy complianceSupport client workshops, technical discussions, and stakeholder presentations on AI strategy, solution design, and implementation Requirements University degree in computer science, engineering, data science, mathematics, or a related field3+ years of professional experience in machine learning, data science, AI engineering, or a related field, with a track record of delivering production ML solutionsStrong Python skills for data analysis, machine learning, and model developmentHands-on experience with ML frameworks and platform tools such as scikit-learn, Tensor Flow, Py Torch, Azure ML Studio, and Databricks MLflowSolid understanding of ML algorithms, statistics, model evaluation, and feature engineeringExperience designing and building end-to-end ML pipelines, from data preprocessing and training through validation, deployment, and monitoringPractical MLOps experience including CI/CD, model versioning, experiment tracking, and automated retrainingExperience deploying ML models to Azure, AWS,



or GCP with an understanding of cloud-native architecture and security principlesExperience with generative AI, LLMs, prompt engineering, or retrieval-augmented generation (RAG)Solid consulting and communication skills, with the ability to explain complex technical concepts to non-technical stakeholdersProven ability to collaborate within cross-functional, multi-disciplinary teams Nice to haves Familiarity with big data or distributed processing frameworks such as Spark is considered an assetExperience fine-tuning foundational models would be a plusCloud AI/ML certifications such as Azure AI Engineer Associate, AWS Machine Learning Specialty, Google Professional ML Engineer, Databricks ML Engineer Associate, or Databricks Generative AI Engineer would be a plus Benefits Compensation listed on the posting is for base salary. Total compensations includes base salary + annual bonuses.A comprehensive total rewards program covering health, wellness, and career supportPut AI into production for some of Canada’s largest organizations, with your models shaping real decisions in forecasting, risk, and customer experienceBuild hands-on depth across all three major clouds (Azure, GCP, AWS) and the latest Gen AI platforms in a single roleHelp set the standard for responsible AI in Canada by building explainability, bias detection, and governance into every solution you shipGrow your career inside a firm that supports learning at every stage, with room to move from engineering into AI strategy and client leadership #J-18808-Ljbffr

📌 Senior Consultant, Ml/Ai Engineer, Data & Ai (Vancouver)
🏢 Toast
📍 Vancouver