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Added 1 min ago
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Senior DevSecOps Engineer
Fintel Connect
Vancouver, BC
- Full-time
As a Senior DevSecOps Engineer, you will lead the implementation and continuous improvement of cloud security, infrastructure automation, platform reliability, and DevSecOps practices…
Added 1 min ago
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Senior AI Engineer, Big Data & AI Solutions
Mastercard
Vancouver, BC
- Full-time
Senior AI Engineer, Big Data & AI SolutionsWho is Mastercard?
Added 31 mins ago
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Database Administrator
Bevertec
Toronto, ON · Greater Toronto Area, Canada
- Contract
If you have a strong background in SQL Server administration, cloud database migrations, and enterprise reporting tools, we want to hear from you!
Added 31 mins ago
PC
Senior Software Development Engineer in Test (SDET) / Quality Engineering Architect
Pyramid Consulting, Inc
Mississauga, ON
- $70 to $79 CAD / hour
- Contract
Immediate need for a talented Senior Software Development Engineer in Test (SDET) / Quality Engineering Architect. This is a 06+months contract opportunity with long-term potential and is…
Added 31 mins ago
RD
Cloud Engineer (Azure & IaC)
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…Microsoft Azure, is seeking a hands-on, automation-driven Cloud Engineer to sit at the center of this transformation. Working as part of a collaborative technology team, the role is 90%…
Added 46 mins ago
EC
GEN Ai Developer
Experis Canada
Toronto, ON
- Contract
Reverse engineer existing applications built using Python, Java, Angular, and Mule to generate architecture, data flow, and sequence diagrams.
Added 1 hour ago
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Software Engineer II
TD
Toronto, ON
- Full-time
As a Software Engineer II, you provide technical expertise to implement scalable, reliable and secure solutions for EDMO Data Catalog services. You contribute to solutions that operate…
Added 1 hour ago
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Electronic Reliability Engineer Co-op (Winter 2027)
Ciena
Ottawa, ON
- Full-time
Analyze the lifespan and reliability of electronic components on complex circuit boards using data-driven methodologies and Excel-based tools.
Added 1 hour ago
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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 1 hour ago
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Senior Product Manager
Litera
Toronto, ON · Canada-Toronto, ON-Office
- Full-time
Hands-on experience shipping AI/ML products (such as search, retrieval, or generative AI) or defining MCP servers and tools in production.
Added 1 hour ago
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Software Engineer in Test
Dexian
Mississauga, ON
- Other
We are seeking a visionary and hands-on Senior Software Development Engineer in Test (SDET)/Quality Engineering Architect to define, champion, and drive the global quality engineering…
Added 1 hour ago
AD
Automation Engineer
ABL Direct
Hamilton, ON
- Full-time
Join a multi-disciplinary engineering firm with offices in Canada and the U.S. The Automation Engineer will work from the Hamilton, ON office.
Added 1 hour ago
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Software Engineer in Test
Dexian
Mississauga, ON
- Contract
API & Service Testing: Deep expertise in RESTful API testing, service virtualization, contract testing, and tools such as Rest Assured, Postman/Newman, and WireMock.
Added 1 hour ago
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Senior Forward Deployment Engineer
Luxoft
Mississauga, ON
- Full-time
- Assist in implementing automated and continuous dependency updates using Renovate or comparable tools.
Added 1 hour ago
GC
Reclamation Manager
Glencore Canada
Toronto, ON
- $139,000 to $187,000 CAD / year
- Full-time
Act as Responsible Tailings Facility Engineer/Person (RTFE / RTFP);
Added 1 hour ago
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Engineering Manager- Payments Platform
Xero
Remote, Canada
- Full-time
- Remote
…including hiring, performance, and career development for every engineer on it. You'll set the team's priorities with the product and engineering leadership, and you'll own the team's…
Added 1 hour ago
Software Engineer - New Grad (2027 Start)
Databricks
Vancouver, BC
As a software engineer, you will work with our engineering team to build infrastructure and products for the Databricks platform. We're hiring across all of our teams, including backend,…
Added 1 hour ago
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Java Developer
Dexian
Mississauga, ON
- Other
We're looking for a senior, architect-level engineer who can sit alongside our front-office users, including underwriters, bankers, and business stakeholders, and turn their needs into…
Added 2 hours ago
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High-Speed Electrical and Optical Systems Validation Engineer - (all levels)
Qualcomm
Ottawa, ON
- Full-time
…work with the industry’s latest lab equipment and software tools, in addition to working on bleeding edge semiconductor technology. New…
Added 2 hours ago
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Senior Release Train Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As part of this journey, we’re looking for a Senior Release Train Engineer to lead large-scale Agile delivery, align cross-functional teams, and help drive meaningful business outcomes.
Added 2 hours ago
O
Customer Experience Test Automation Intern
OpusClip
Burnaby, BC
- $25 to $28 CAD / hour
- Full-time
You will work with AI coding tools (Claude Code, Codex) every day, ship real automation into a real product, and leave with a portfolio of tests that protect paying customers. CX at…
Added 2 hours ago
HT
Hardware & Embedded Systems Engineer - AI-Edge Devices
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Contract
Huawei Canada has an immediate 12-month contract opening for a Hardware & Embedded Systems Engineer.
Added 2 hours ago
OT
Field Instrumentation Specialist
Ontario Transit Group
Toronto, ON
- Full-time
Conduct site visits to evaluate project requirements and determine the appropriate instrumentation systems, installation methods, tools, and equipment.
Added 2 hours ago
EB
Staff Engineer, Infrastructure Solutions (12 month contract)
EQ Bank
Toronto, ON
- Contract
The Staff Engineer plays a key role within the Infrastructure Solutions team, defining infrastructure strategies and roadmaps with a strong emphasis on network engineering initiatives. This…
Added 2 hours ago
C
Infrastructure Engineer
CarbonForge
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Role Description The Infrastructure Engineer role at CarbonForge is a full-time, on-site position based in the Greater Montreal Metropolitan Area. In this role, the engineer will design,…

Toast

Senior Consultant, ML/AI Engineer, Data & AI

Vancouver, BC, Canada

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

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Applications open in a new tab.

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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