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Added 4 mins ago
M
Platform Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
We’re looking for a Platform Engineer who enjoys solving complex infrastructure challenges, improving developer experiences, and building secure, automated cloud environments. You’ll work…
Added 4 mins ago
Software Engineer 3, Identity and Access Management
MongoDB
Toronto, ON
…workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more…
Added 4 mins ago
D
Software Engineer in Test
Dexian
Mississauga, ON
- Other
Added 18 mins ago
Technical Consultant I
Zafin
Toronto, ON
Basic knowledge of cloud environments such as AWS, Azure, or GCP, containerization, and deployment concepts.
Added 33 mins ago
CB
CloudOps Administrator (Canada) - N.A. Service Delivery Group
Canadian Bank Note Company
Ottawa, ON
- $75,000 to $93,000 CAD / year
- Full-time
CompTIA Server+, Microsoft Certified: Azure Administrator Associate, or AWS Associate certification.
Added 34 mins ago
NS
Senior Java Developer
N2P Systems
Mississauga, ON
- Full-time
We are seeking an experienced Java Developer with strong hands-on expertise in Java, Spring Boot, microservices architecture, MongoDB, and Apache Kafka.
Added 34 mins ago
RI
Senior Cloud Engineer
Raas Infotek
Toronto, ON · Scarborough, ON
- Contract
Strong hands-on experience with AWS Cloud Services including:
Added 49 mins ago
R
Senior Software Quantitative Engineer
RBC
Vancouver, BC · Toronto, ON
- Full-time
Experience with Cloud (AWS or Azure) and containerization is a big plus
Added 49 mins ago
T
Manager, Engineering (Small Business Card ART)
TD
Toronto, ON
- Full-time
7+ years proven experience as a Java Developer and Spring Boot with previous experience developing RESTful APIs (Node JS, Angular, Hibernate) and microservices.
Added 1 hour ago
GP
Sr. Network Designer Sr. Network Designer (Network Modernization Program)
Global Pharma Tek
ON · Ontario, Canada
- Contract
Cloud Connectivity (Hybrid/Multi-Cloud): The candidate has designed Direct Connect / ExpressRoute, Transit architectures, multi-cloud integration (AWS + Azure)
Added 1 hour ago
CB
CloudOps Administrator (Canada) - N.A. Service Delivery Group
Canadian Bank Note Company, Limited
Ottawa, ON
- $75,000 to $93,000 CAD / year
- Full-time
CompTIA Server+, Microsoft Certified: Azure Administrator Associate, or AWS Associate certification.
Added 1 hour ago
SL
Student, Quality Engineering Analyst (Winter 2027)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Exposure cloud services, especially AWS data or AI services such as S3, Glue, Redshift, Lambda, SageMaker or Amazon Bedrock.
Added 1 hour ago
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BlackBerry Radar- Senior Full Stack Developer
BlackBerry
Ottawa, ON
- Full-time
Build and optimize backend microservices using Node.js, Express, NATS, Redis, MySQL, and Elasticsearch on AWS
Added 1 hour ago
BQ
BlackBerry Radar- Senior Full Stack Developer
BlackBerry QNX
Ottawa, ON
- Full-time
Build and optimize backend microservices using Node.js, Express, NATS, Redis, MySQL, and Elasticsearch on AWS
Added 1 hour ago
M
Senior Full Stack Developer (Java/React)
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 1 hour ago
E
Senior Engagement Manager
EXL
Canada
- Full-time
Added 1 hour ago
TA
Agentic AI Architect
Tiger Analytics
Canada
- Full-time
…scalable, multi-agent AI ecosystems on cloud hyperscalers (Azure, AWS, or GCP), while staying close enough to the codebase to build prototypes, establish design patterns, and conduct…
Added 2 hours ago
RD
Full Stack Engineer
Randstad Digital
Toronto, ON
- Contract
Added 2 hours ago
A
Senior QA – Backend Automation & Data Testing
Acunor
ON · Ontario, Canada
- Contract
Test AWS ETL/ELT pipelines and identify data-quality issues.
Added 2 hours ago
T
Senior Consultant, ML/AI Engineer, Data & AI
Toast
Vancouver, BC
- $77,000 to $102,000 USD / year
- Full-time
…cloud environments, with a focus on Azure alongside GCP and…
Added 2 hours ago
AP
Manager, Data Analytics and Reporting
Alexion Pharmaceuticals, Inc.
Mississauga, ON
- Full-time
Added 2 hours ago
BR
Java Software Engineer
Benchmark Recruitment
Vancouver, BC · Greater Vancouver Metropolitan Area
- Contract
Experience building applications within cloud-native environments, with GCP and Azure preferred; AWS experience is also relevant
Added 2 hours ago
ZS
ETL Lead Developer
Zodiac Solutions, Inc
Mississauga, ON
- Full-time
(Core banking with Canadian banking domain)Strong solution Knowledge in AWS Cloud and hands on experience with ETL process (like Kafka message processing, batch interface data injection and…
Added 2 hours ago
BR
DevOps Engineer
Benchmark Recruitment
Vancouver, BC · Greater Vancouver Metropolitan Area
- $113,900 to $147,400 CAD / year
- Full-time
Evaluate and introduce new tools, technologies, and engineering practices to improve platform reliability and developer productivity
Added 2 hours ago
E
Spécialiste IA et automatisation de processus
EXFO
Quebec, QC · Greater Quebec City Metropolitan Area
- Full-time
Expérience avec Microsoft Power Automate, Azure Logic Apps, UiPath, n8n, Zapier, LangGraph, AWS Bedrock, Bedrock AgentCore ou des outils similaires.

Toast

Senior Consultant, ML/AI Engineer, Data & AI

Vancouver, BC, Canada

$77,000 to $102,000 USD / year · Full-time

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Job details

Pay: $77,000 to $102,000 USD / year
Job type: Full-time
Apply by: Nov 26, 2026
Experience: 3+ years of professional experience in machine learning, data science, AI engineering, or a related field, with a track record of delivering production ML solutions
Posting language: English
Posted: Oct 27, 2026

Original job description

Job Description

Toast 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 GenAI 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 impact
Translate business and analytical requirements into end-to-end ML/AI solution designs
Carry 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, TensorFlow, PyTorch, Azure ML Studio, and Databricks MLflow
Build and optimize AI and GenAI solutions using platforms such as AI Foundry, GCP Vertex AI, AWS SageMaker, and Bedrock
Operationalize AI/ML pipelines using MLOps best practices, including model deployment, versioning, CI/CD, automated testing, and monitoring
Implement model monitoring, performance tuning, drift detection, and retraining strategies in production
Work with data engineers to ensure reliable, scalable data pipelines that support model training and inference
Apply responsible AI principles including explainability, bias detection, model governance, and security and privacy compliance
Support 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 field
3+ years of professional experience in machine learning, data science, AI engineering, or a related field, with a track record of delivering production ML solutions
Strong Python skills for data analysis, machine learning, and model development
Hands-on experience with ML frameworks and platform tools such as scikit-learn, TensorFlow, PyTorch, Azure ML Studio, and Databricks MLflow
Solid understanding of ML algorithms, statistics, model evaluation, and feature engineering
Experience designing and building end-to-end ML pipelines, from data preprocessing and training through validation, deployment, and monitoring
Practical MLOps experience including CI/CD, model versioning, experiment tracking, and automated retraining
Experience deploying ML models to Azure, AWS, or GCP with an understanding of cloud-native architecture and security principles
Experience with generative AI, LLMs, prompt engineering, or retrieval-augmented generation (RAG)
Strong consulting and communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
Proven 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 asset
Experience fine-tuning foundational models would be a plus
Cloud 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 inludes base salary + annual bonuses.
A comprehensive total rewards program covering health, wellness, and career support
Put AI into production for some of Canada’s largest organizations, with your models shaping real decisions in forecasting, risk, and customer experience
Build hands-on depth across all three major clouds (Azure, GCP, AWS) and the latest GenAI platforms in a single role
Help set the standard for responsible AI in Canada by building explainability, bias detection, and governance into every solution you ship
Grow your career inside a firm that supports learning at every stage, with room to move from engineering into AI strategy and client leadership
Application Review

Submit your application, including your resume and cover letter, through our online portal. Our team will carefully review your qualifications and experiences. We take pride in responding promptly, so if your application aligns with our current opportunities, you’ll hear back from us with next steps. Your journey with Toast begins here, and we’re excited to see what you bring to the table!

Vetting Call

If your application is successful, we’ll schedule a vetting call with a member of the Toast team. This 30-45 minute informal conversation is designed for us to get to know you better and assess your skills. Be prepared to discuss your past projects, the challenges you’ve tackled, and the impact you’ve made. This is your chance to shine and show us why you’re a great fit for the roles we offer.

Profile Creation

Once you’ve impressed us in the vetting call, we’ll create an unbiased profile that highlights your experience while minimizing common biases. Instead, we focus on your skills, industry experience, and the impact you’ve made. This way, your profile reflects your true potential and accomplishments.

Client Submission

After crafting your unbiased profile, we submit it to our trusted clients. We work closely with these clients to ensure they understand the value you bring. Throughout their interview process, we remain by your side, providing support and guidance. Our goal is to help you navigate the hiring process smoothly and confidently, ensuring you have the best chance to secure a role that fits your skills and aspirations.

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More about this job

Responsibilities

Partner with clients to translate business needs into secure, production-ready machine learning and generative AI solutions, including data preparation, model development, and deployment across Azure, GCP, and AWS. Build and operate MLOps pipelines, monitor and improve models in production, apply responsible AI practices, and support client workshops and stakeholder discussions.

Requirements

Requires a university degree in computer science, engineering, data science, mathematics, or a related field, plus at least three years of relevant professional experience delivering production machine learning solutions. Candidates need strong Python and ML skills, end-to-end pipeline and MLOps experience, cloud deployment knowledge, familiarity with generative AI, and strong consulting, communication, and collaboration abilities.

Skills

Python
Machine Learning
Generative AI
Scikit-Learn
TensorFlow
PyTorch
Azure Machine Learning
Databricks MLflow
MLOps
Cloud Computing
Model Deployment
CI/CD
Model Monitoring
Feature Engineering
Retrieval-Augmented Generation
Responsible AI

Benefits

Health And Wellness Support
Career Support
Annual Bonuses
Learning And Career Development

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Generative AI
Python
Scikit-Learn
TensorFlow
PyTorch
Azure Machine Learning
Databricks MLflow
AI Foundry
Google Vertex AI
AWS SageMaker
Amazon Bedrock
MLOps
CI/CD
Model Versioning
Experiment Tracking
Automated Testing
Model Monitoring
Drift Detection
Retraining
Feature Engineering
Forecasting
Classification
Recommendation Systems
Anomaly Detection
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
Responsible AI

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