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Added 25 mins ago
Azure DevOps engineer
IFG - International Financial Group
Vancouver, BC · Greater Vancouver, BC
Contract
Title: DevOps Engineer – Azure DevOps, CI/CD & Agentic AI
Added 1 hour ago
Engineering Specialist
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Full-time
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Added 2 hours ago
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Full-time
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Full-time
Competitive Compensation and Benefits: We offer a competitive compensation and benefits package to reward and support our team members.
Added 3 hours ago
Propulsion Engineer
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$75,000 to $150,000 CAD / year
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Azure DevOps engineer
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$109,000 to $113,000 CAD / year
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Job Description: SR DevOps Engineer – Azure DevOps, CI/CD & Agentic AI
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Sr SAP SuccessFactors Engineer
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$85,000 to $87,000 CAD / year
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Job Description: SR DevOps Engineer – Azure DevOps, CI/CD & Agentic AI
Added 3 hours ago
Sr Mgr, Substation Reliability
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Halifax, NS
Full-time
Registered Professional Engineer (P.Eng.) with Engineers Nova Scotia or eligible for registration.
Added 4 hours ago
Propulsion Engineer
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$75,000 to $150,000 CAD / year
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Added 14 hours ago
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Added 20 hours ago
Sr Software Engineer
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Montreal, QC
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Added 20 hours ago
Sr. Java Full-Stack Engineer
Nityo Infotech
Canada
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Provide L3 support for Java, JavaScript, and Tomcat-based applications.
Added 21 hours ago
Capital Project Engineer
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Colonsay, SK
Full-time
We are currently seeking a Capital Project Engineer (II, III or Sr) at the Colonsay Mine. The Capital Project Engineer will manage a portfolio of projects varying between Surface, Shafts…
Added 1 day ago
Capital Project Engineer
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Colonsay, SK · CA-Colonsay, SK
Full-time
We are currently seeking a Capital Project Engineer (II, III or Sr) at the Colonsay Mine. The Capital Project Engineer will manage a portfolio of projects varying between Surface, Shafts…
Added 1 day ago
Senior Integration Architect
Infotree Global Solutions
Toronto, ON
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Job Title: Sr Integration Engineer (Intelligent Automation)
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Sr SAP SuccessFactors Engineer
Galactic Minds INC
Toronto, ON
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The EMEA Senior SAP SuccessFactors Consultant is responsible for providing expert BAU support, L3 issue resolution, and continuous improvement for Colliers’ SAP SuccessFactors landscape…
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Sr. Tendering Engineer
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Burnaby, BC
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We are seeking a highly skilled Senior Tendering Engineer to act as a high-level technical lead and strategic partner to management. You will be the central pivot point for the bidding…
Added 1 day ago
Sr. Power Platform Developer
Softchoice
Ottawa, ON
…adoption of Microsoft Power Platform at an enterprise level. The Engineer, Low-Code guides clients on employing Power Platform tools - Copilot Studio, Power Apps, Power Automate, Power BI,…
Added 1 day ago
Sr SAP SuccessFactors Engineer - Toronto / Vancouver (Canada)
InfiCare Staffing
Vancouver, BC
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Job title : Sr SAP SuccessFactors Engineer Lead / Architect
Added 1 day ago
Sr SAP SuccessFactors Engineer
MethodHub
Toronto, ON
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L3 Support, BAU Operations & support Platform Stability
Added 1 day ago
Sr. Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
We are seeking a Sr. Software Development Engineer to lead the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects,…
Added 1 day ago
Senior Backend Engineer
Woodbine Entertainment
Toronto, ON · Woodbine HQ
Full-time
The Sr. Backend Engineer is responsible for the operational health, administration, security, reliability, and continuous improvement of enterprise business platforms, data integration…
Added 1 day ago
Lead Specialist – IT SAP Supply Chain (MM)
Parkland Corporation
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Full-time
…in-depth expertise in SAP MM, WM and IM areas. Perform system support and analysis and design for SAP and other IT solutions to support procure to pay processes. Knowledgeable and…

Aviso

Senior AI Engineer - AI Platform & ML Engineering IT-26-229

Toronto, ON, Canada

Pay: $135,000 to $150,000 CAD / year
Job type: Full-time
Apply by: Oct 23, 2026
Posting language: English
Posted: Sep 23, 2026

Apply About employer

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Original job description

Aviso Wealth:

At Aviso, we are dedicated to improving the financial well-being of Canadians. As a leading wealth management organization, we are committed to leadership, innovation, partnership, responsibility, and community. Working with talented and energetic professionals who exemplify our values every day, you will quickly notice that our people and dynamic ‘oneaviso' culture sets us apart. If you are looking for interesting and challenging work, at a company committed to its people, find out more about what Aviso has to offer at www.aviso.ca.

The Opportunity:

We're looking for an AI Engineer, AI Platform & ML Engineering to join our Data & AI Technology Partners team. Reporting to the Sr. Director of Data Science and AI Enablement, the AI Platform & ML Engineering is responsible for focusing on the platform patterns, MLOps practices, model lifecycle, deployment standards, monitoring, evaluation, and governance integration needed to move AI and machine learning solutions beyond experimentation. This is a hands-on engineering role for someone who wants to build the foundation that allows AI solutions to become repeatable, governed, observable, and production ready.

As oneaviso:

We Care - You do the right thing for clients, partners and colleagues. You build trusted relationships, champion service excellence, and contribute to a culture where people feel valued and supported

We Dare -You challenge the status quo with bold ideas and fresh perspectives. You embrace change, seek opportunities to innovate and are comfortable exploring new ways of working

We Share - You collaborate openly and build meaningful relationships. You seek out diverse perspectives, share your knowledge and work together to help colleagues, clients and partners succeed

We Deliver - You take ownership of your work, honour your commitments and focus on delivering meaningful results. You hold yourself accountable and continuously look for ways to improve

What your day looks like:

Build reusable AL and ML engineering patterns that help teams move from proof-of-value to production safely and consistently
Establish practical MLOps and LLMOps practices using Databricks, AWS, MLflow and related platform capabilities
Create standards and templates for model deployment, serving, monitoring, evaluation, and production release
Support API integration and deployment patterns for ML, GenAI and agentic solutions
Partner with Data Engineering & Data Management to define feature engineering data product, and reusable pipeline patterns for AI/ML use cases
Help define how models, prompts, agents, data products, and AI outputs are versioned, tracked, monitored, and governed
Partner with Data & AI Governance to embed responsible AI, lineage, access control, auditability, and risk controls into production workflows
Help monitor AI cost, performance, reliability, usage, and operational risk, while contributing to reusable standards and community learning

Requirements

Your experience and skills:

Bachelor's or Master's Degree in Computer Science, Software Engineering, Data Engineering, Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Engineering or related technical field
Equivalent hands-on experience building data, AI, machine learning, platform, or cloud engineering solutions may be considered in place of formal education
10+ years of overall experience with 4+ years of experience building, deploying, or supporting machine learning, AI, or data-driven solutions in production environments and 5 to 7 years working in the data space
Databricks certification related to Machine Learning, Data Engineering, Generative AI or platform administration
AWS certifications related to cloud architecture, machine learning, AI, DevOps, data engineering or security
Microsoft Azure certifications related to AI, data, cloud engineering, DevOps, or security
Other relevant certifications in MLOps, LLMOps, cloud platforms, DevOps, security, architecture, or enterprise AI platforms
Strong Python development skills, especially for ML engineering, automation, APIs, testing and production implementation
Hands-on experience with cloud-based AI/ML platforms; experience with AWS an asset, Databricks, Azure, MLflow or Lakehouse platforms
Strong understanding of MLOps, CI/CD/CT, model deployment, model serving, and production release practices for AI and ML solutions
Experience with model evaluation, validation, monitoring and observability, including model performance, drift, reliability, latency, usage and cost
Familiarity with LLMOps practices that support GenAI and agentic solutions in production, including prompt/model versioning, evaluation pipelines, controlled releases, and production support patterns
Experience developing reusable AI/ML platform patterns, including deployment templates, secure serving patterns, feature engineering standards, and integration frameworks
Understanding of enterprise security, governance, and control requirements for production AI and ML workloads
Strong consultative and communication skills, with the ability to explain technical trade-offs to data, technology, risk, governance, and business stakeholders
Fluent communication skills in English are required and bilingual skills in French are an asset

Benefits

Why Aviso Wealth?

At Aviso Wealth, you will find a dynamic and inclusive culture that rewards innovation and celebrates success.

Here are a few things that set us apart:

Competitive compensation package that rewards and recognizes individual contributions
Excellent health, dental and insurance benefits to meet the diverse needs of our employees
Generous vacation time, fitness benefit, parental leave top-up options
Matching contributions to our retirement program
Commitment to the continuous improvement of our staff through learning & development and an education assistance program
Regular social events to foster teamwork

Your Information

By submitting your application, you consent to the collection, use, and disclosure of your provided personal information for the purposes of assessing your qualifications and suitability for employment with Aviso. Your information will be handled in accordance with applicable Canadian privacy laws, including the Personal Information Protection and Electronic Documents Act (PIPEDA) and relevant provincial legislation. Your data may be shared with authorized personnel involved in the recruitment process and retained only as long as necessary to fulfill these purposes or as required by law.

Further information is available on the Privacy link on our Career Page - Privacy Policies

Equal Employment Opportunity

Aviso welcomes and encourages applications from all qualified individuals including persons with disabilities. If you require an accommodation, we will work with you to meet your needs in all stages of the hiring process.

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.

No recruiters or agencies, please.

Company Overview:

Aviso is a leading wealth management and investment services provider for the Canadian financial industry, with approximately $145 billion in total assets under administration and management, and over 1,000 employees. We're building a comprehensive, technology-enabled, client-centric wealth services ecosystem. Our clients include our partners, advisors, and investors. We're a trusted partner for nearly all credit unions across Canada, in addition to a wide range of portfolio managers, investment dealers, insurance and trust companies, and introducing brokers. Our partners depend on Aviso for specific solutions that give them a competitive edge in a rapidly evolving, highly competitive industry. Our investment dealer and mutual fund dealer and our insurance services support thousands of investment advisors. Our asset manager, NEI Investments, specializes in investing responsibly. Our online brokerage, Qtrade Direct Investing®, empowers self-directed investors, and our fully automated investing service, Qtrade Guided Portfolios®, serves investors who prefer a hands-off approach. Aviso Correspondent Partners provides custodial and carrying broker services to a wide range of firms. We have offices in Toronto, Vancouver, and Montreal. Aviso is backed by the collective strength of our owners: the credit union Centrals, Co-operators/CUMIS, and Desjardins. We're proud to power businesses that empower investors.

A career with Aviso means being part of a group of talented, energetic professionals who live their values every day, and belonging to an organization dedicated to your success and career development. If you're looking for interesting and challenging work, at a company committed to its people, apply to join our team.

Salary

This position is posted with an expected salary range of $135,000 - $150,000 CAD annually. Individual compensation packages are based on various factors unique to each candidate and the requirements of the position.

Apply About employer

More about this job

Responsibilities

Build reusable AI and machine learning engineering patterns, platform practices, and deployment standards that move solutions from experimentation into production. Establish lifecycle management, monitoring, evaluation, security, and governance practices while partnering with data engineering, governance, and business stakeholders.

Requirements

Requires 10+ years of overall experience, including 4+ years building, deploying, or supporting production AI, machine learning, or data-driven solutions and 5–7 years in the data field. Candidates should have strong Python and cloud AI/ML platform experience, knowledge of MLOps and LLMOps, and a relevant technical degree or equivalent hands-on experience; related certifications are also listed.

Skills

Python
Machine Learning Engineering
MLOps
LLMOps
Databricks
AWS
Microsoft Azure
MLflow
CI/CD/CT
Model Deployment
Model Serving
Model Evaluation
Monitoring And Observability
API Integration
Feature Engineering
AI Governance

Benefits

Health Benefits
Dental Benefits
Insurance Benefits
Vacation Time
Fitness Benefit
Parental Leave Top-Up
Learning And Development
Education Assistance Program
Social Events

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
AI Platform Engineering
Machine Learning Engineering
MLOps
LLMOps
Python
Databricks
AWS
Microsoft Azure
MLflow
Lakehouse Platforms
CI/CD/CT
Model Lifecycle Management
Model Deployment
Model Serving
Model Evaluation
Model Monitoring
Observability
Generative AI
Agentic Solutions
API Integration
Feature Engineering
Data Products
Responsible AI
Data Lineage
Access Control
Auditability
Cloud Architecture
Financial Services

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