Jobs in Canada

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Added 9 days ago
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Applied Researcher
eBay
Toronto, ON
- Full-time
Technical Proficiency: Strong programming skills in Python, Scala, or similar languages. Expertise in machine learning frameworks (e.g. PyTorch/Huggingface/Ray/vLLM) and experience with big…
Added 9 days ago
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[Disney Dreamlight Valley PC/Console] Analyste de données sénior - Senior Data Analyst
Gameloft
Montreal, QC
- Full-time
Filled with quests, exploration, and engaging activities featuring iconic Disney and Pixar characters, Disney Dreamlight Valley is an original Gameloft Montreal production created by a…
Added 9 days ago
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Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Duration: 12 Months contract with possibility of extension
Added 9 days ago
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DevOps Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Must Have Skills:
Added 9 days ago
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Senior Applied AI Scientist, Advanced Analytics & Modelling - Customer Intelligence
Canadian Tire Corporation
Toronto, ON
- Full-time
Location: Toronto, Ontario (Hybrid: In-office 4 days per week)
Added 9 days ago
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Senior ML/AI Engineer, Advanced Analytics & Modelling - Customer Intelligence Platforms
Canadian Tire Corporation
Toronto, ON
- Full-time
Location: Toronto, Ontario (Hybrid: In-office 4 days per week)
Added 9 days ago
GM
[Disney Dreamlight Valley PC/Console] Analyste de données sénior - Senior Data Analyst
Gameloft Montreal
Montreal, QC
- Full-time
Filled with quests, exploration, and engaging activities featuring iconic Disney and Pixar characters, Disney Dreamlight Valley is an original Gameloft Montreal production created by a…
Added 9 days ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Welcome to the Jungle
Montreal, QC
…analysts, and digital experts to solve complex business challenges with pragmatic, production-ready…
Added 9 days ago
Senior AI Platform Engineer
Scotiabank
Toronto, ON
Advanced programming skills in Python, Java, Scala, Go, or a similar language, with a strong record of producing clean, testable, maintainable, and secure code.
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Data Platform Engineer
BRP
Montreal, QC
- Full-time
Work closely with business, AI/ML and operations teams to identify opportunities for further platform development and refinement.
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Forward Deployed Engineer
Quadric
Canada
- Full-time
Quadric is redefining edge AI with the industry's first General Purpose Neural Processing Unit (GPNPU), enabling developers to run both neural network inference and conventional C++ code on…
Added 9 days ago
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Braze Lead Developer
EXL
ON · Ontario, Canada
- Full-time
We are seeking a hands-on Braze Lead Developer to build, integrate, and scale Braze solutions for enterprise clients. You will lead a team of developers while remaining deeply hands-on:…
Added 9 days ago
Senior Application Developer (Computer Services Officer 4)
The Government of Nova Scotia
Halifax, NS
This role is ideal for a highly skilled software professional with strong expertise in Java, Python, JavaScript, API development, integration technologies, and cloud-ready application…
Added 9 days ago
CI
Senior Data Analytical Specialist / Scientist - Contract
Compugen Inc
Toronto, ON
- Contract
The ideal candidate will bring strong hands-on expertise in Python, SQL, statistical modelling, Azure Machine Learning, and Microsoft Azure AI technologies, combined with the ability to…
Added 9 days ago
CI
Senior Data Science Developer - Contract
Compugen Inc
Toronto, ON
- Contract
The ideal candidate will bring strong hands-on expertise in Python, Microsoft Azure AI technologies, software engineering, and machine learning, with the ability to translate complex…
Added 9 days ago
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Artificial Intelligence Engineer
Enterprise Solutions Inc.
Toronto, ON
- Contract
…enhance user experiences through AIdriven solutions Collaborate with cross functional teams to transition AI models from prototypes to scalable secure and high performance enterprise APIs…
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Data Science Developer - Senior/Senior Data Scientist / ML Engineer
ThoughtStorm
Toronto, ON
- Contract
Advanced proficiency in Python and SQL for data analysis, model development, and processing real-world datasets.
Added 9 days ago
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Data Operations Engineer AI - Co-op Student (Winter 2027)
Rodan Energy Solutions Inc.
Mississauga, ON
- Internship
Work Arrangement: 5 days per week in-office
Added 9 days ago
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AI/ML Platform Engineer – Containers & GPU Infrastructure - Canada
IT Accel, Inc.
Toronto, ON
- Full-time
Build platform automation with Python, Terraform, GitHub Actions, Azure CLI and the Azure Python SDK.
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Director, Product Management, Global Asset Management
CIBC
Toronto, ON
- Full-time
…analysis, and related investment functions. You'll work closely with quantitative teams, technology partners, and business leaders to translate complex needs into clear, prioritized product…
Added 9 days ago
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AI Engineer - Senior Consultant
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams…
Added 9 days ago
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AI/ML Architect – Principal
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Strong programming skills in Python, R, or Scala with hands-on experience building scalable ML pipelines.
Added 9 days ago
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Analytics Engineer
Tantalus
Burnaby, BC
- Full-time
We have operations throughout the United States and Canada with offices in Burnaby (British Columbia, Canada), Raleigh (North Carolina, USA), and Norwalk (Connecticut, USA).
Added 9 days ago
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Data Science Intern
Plusgrade
Toronto, ON · CAN - Toronto
- Full-time
…Senior Manager of Data Science, you will build and ship the developer tools and observability systems that keep our production machine learning models running reliably. You will spend your…
Added 9 days ago
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Software Engineer
Milya AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Experience with modern programming languages (e.g., Python, Java, C#, or similar) and version control systems (e.g., Git).

Scotiabank

Senior AI Platform Engineer

Toronto, ON, M5H 1H1, Canada

Apply on jobs.scotiabank.com About employer

Applications open in a new tab.

Job details

Experience: 5+ years of professional software engineering experience, including significant experience designing and delivering production platforms, APIs, or distributed systems.
Posting language: English
Posted: Nov 4, 2026

Original job description

Requisition ID: 278457

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Role

The Senior AI Platform Software Engineer will lead the design, development, and operation of scalable software platforms that enable enterprise teams to build, deploy, monitor, and govern artificial intelligence and machine learning solutions in production. Operating at the intersection of software engineering, cloud infrastructure, MLOps, generative AI, and platform engineering, this role provides technical leadership for reusable, secure, and reliable platform capabilities. The successful candidate will shape architecture, establish engineering standards, mentor engineers, and partner across product, data, security, risk, and architecture teams to accelerate responsible AI adoption at enterprise scale.

Is this role right for you? In this role you will:

Lead the architecture, design, development, and evolution of reusable platform services for AI and machine learning workloads, including training, evaluation, deployment, inference, monitoring, and lifecycle management.
Own the technical design of scalable APIs, orchestration layers, SDKs, developer portals, and self-service tooling that improve developer productivity and enable consistent enterprise adoption.
Define and implement production-grade MLOps and LLMOps patterns, including CI/CD, model and prompt versioning, automated evaluation, observability, drift detection, release controls, and rollback mechanisms.
Translate complex and ambiguous AI use cases into secure, extensible platform capabilities in partnership with data scientists, machine learning engineers, application teams, security, risk, and architecture stakeholders.
Design and operate resilient cloud-native and containerized services using Kubernetes, Docker, managed cloud services, and infrastructure-as-code practices.
Provide architectural leadership for generative AI capabilities, including model serving, retrieval-augmented generation, vector search, agentic workflows, feature pipelines, evaluation, guardrails, and enterprise integration patterns.
Embed reliability, scalability, security, privacy, governance, auditability, and cost optimization into platform architecture and engineering practices.
Establish and champion engineering standards for code quality, testing, observability, documentation, API design, operational readiness, and production support.
Lead technical reviews, evaluate emerging AI platform technologies, and influence build-versus-buy and adoption decisions aligned with enterprise strategy and architecture standards.
Mentor engineers, provide hands-on technical guidance, drive design consistency, and raise engineering maturity across platform teams.
Lead incident response, root-cause analysis, performance optimization, and continuous improvement for business-critical platform services.

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, or a related technical discipline, or equivalent practical experience.

5+ years of professional software engineering experience, including significant experience designing and delivering production platforms, APIs, or distributed systems.

Advanced programming skills in Python, Java, Scala, Go, or a similar language, with a strong record of producing clean, testable, maintainable, and secure code.

Demonstrated experience leading system design for scalable, highly available services, including API design, asynchronous processing, distributed systems, data stores, caching, and performance optimization.

Deep hands-on experience with Azure, AWS, or Google Cloud across compute, storage, networking, identity, security, and managed AI or data services.

Strong experience with Docker, Kubernetes, infrastructure as code, CI/CD, release automation, and production operations.

Hands-on experience implementing MLOps or LLMOps capabilities such as model deployment, experiment tracking, registries, automated evaluation, observability, monitoring, and lifecycle controls.

Strong working knowledge of machine learning systems, data and feature pipelines, model serving, generative AI application patterns, and the operational risks associated with production AI.

Experience building modern front-end applications using React, Angular, or Vue, including component-based architecture, state management, accessibility, and responsive user interfaces.

Ability to design intuitive and performant experiences for developer portals, operational dashboards, workflow tools, and self-service platform interfaces.

Proven ability to apply secure software development practices, identity and access controls, secrets management, threat mitigation, and production operational controls.

Strong technical leadership, problem-solving, communication, collaboration, and ownership skills, with experience influencing cross-functional teams and mentoring engineers.

Nice‑to‑Have Qualifications:

Experience architecting internal developer platforms, AI platforms, ML platforms, or shared engineering services adopted by multiple teams at enterprise scale.

Hands-on experience with technologies such as MLflow, Kubeflow, Airflow, Argo Workflows, Databricks, Ray, Spark, feature stores, vector databases, model gateways, or model registries.

Experience designing LLM and agentic AI platforms, including retrieval-augmented generation, prompt orchestration, tool integration, evaluation frameworks, guardrails, identity, and observability.

Expertise with infrastructure-as-code and GitOps tools such as Terraform, Bicep, ARM templates, CloudFormation, Pulumi, Helm, or Argo CD.

Experience defining platform reference architectures, technical roadmaps, software development standards, and reusable patterns across engineering teams.

Experience operating services in regulated environments with governance, auditability, data privacy, responsible AI, and model risk management requirements.

Relevant certifications such as Azure AI Engineer Associate, AWS Certified Machine Learning Engineer, Google Professional Machine Learning Engineer, or Certified Kubernetes Administrator.

What's in it for you?

Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.

Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.

Upskilling through online courses, cross-functional development opportunities, and tuition assistance.

Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.

Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.

Community Engagement - No matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs.

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

Apply on jobs.scotiabank.com About employer

More about this job

Responsibilities

The Senior AI Platform Software Engineer will lead the design, development, and operation of scalable software platforms to enable enterprise AI and machine learning solutions. This role involves defining MLOps and LLMOps patterns, mentoring engineers, and partnering with cross-functional teams to ensure reliable and secure AI adoption.

Requirements

Candidates must have a bachelor's degree in a technical discipline and at least 5 years of professional software engineering experience. Proficiency in programming languages like Python, Java, or Go, along with deep experience in cloud platforms, Kubernetes, and AI/ML operational workflows, is required.

Skills

Python
Java
Scala
Go
Kubernetes
Docker
MLOps
LLMOps
Cloud infrastructure
System design
API design
Generative AI
CI/CD
Infrastructure as code
Distributed systems
Technical leadership

Benefits

Diversity, Equity, Inclusion & Allyship programs
Employee Resource Groups
Upskilling through online courses
Cross-functional development opportunities
Tuition assistance
Competitive rewards program
Bonus
Flexible vacation
Personal days
Sick days
Benefits starting on day one

Visa sponsorship

Not detected in the job text

Keywords

AI Platform
Machine Learning
MLOps
LLMOps
Generative AI
Kubernetes
Docker
Python
Java
Scala
Go
Cloud-native
Azure
AWS
Google Cloud
CI/CD
Infrastructure as Code
API Design
Distributed Systems
Retrieval-Augmented Generation
Vector Search
MLflow
Kubeflow
Terraform
GitOps
Software Engineering
Platform Engineering
Data Pipelines
Model Serving
Enterprise Architecture

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Work requirements

Jobs in Canada