Jobs in Canada

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Added 1 day ago
IG
AI Product Manager
Insight Global
Toronto, ON
- From $68 CAD / hour
- Contract
Strong understanding of generative AI and agentic AI concepts, including LLMs, retrieval-augmented generation, embeddings, agents and tools, workflow and state, model evaluation,…
Added 1 day ago
TM
Contract Lecturer - Unit 1 - Winter 2027 - Ted Rogers School of Information Technology Management
Toronto Metropolitan University
Toronto, ON
- $79,644.07 to $101,855.82 CAD / year
- Temporary
Added 1 day ago
Software Developer II, Early Career
Google
Waterloo, ON · Montréal, QC
Experience with machine learning algorithms and tools, Basics of Machine Learning, Generative AI, Recommendations/Ranking/Predictions, Natural Language Processing, Speech Audio, Machine…
Added 1 day ago
QT
SoC Infrastructure/NoC, Power & Performance Validation Engineer
Qualcomm Technologies, Inc.
Markham, ON
- On-site
Experience leveraging Generative AI technologies for optimizing workflows
Added 1 day ago
CRM Project Manager
Monks
Canada
If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week
Added 1 day ago
Content Creator & Photographer/Videographer
Chop Steakhouse & Bar
ON
Added 1 day ago
SL
Director, Domain Enterprise Architect (AI)
Sun Life of Canada - Corporate
Waterloo, ON · Toronto, ON
- Full-time
…for the enterprise AI architecture domain, ensuring all AI, Generative AI, Agentic AI, machine intelligence, and intelligent automation investments across global operations align to a…
Added 1 day ago
LB
Revenue Marketing Manager
Leo Berwick, LP
Toronto, ON
- Full-time
- On-site
Improve how often AI tools such as ChatGPT and Google AI Overviews surface and cite Leo Berwick, also known as answer and generative engine optimization (AEO / GEO)
Added 1 day ago
Associate Creative Director
Monks
Canada
…intersection of traditional advertising craft and advanced generative AI workflows, you are responsible for leading the execution of exceptional stills, motion, and video content for major…
Added 1 day ago
MS
Principal Product Manager, AI-Powered Security Operations
Motorola Solutions Canada Inc.
Vancouver, BC · Toronto, ON
- Full-time
Technical Fluency: Experience with Vision Language Models (VLMs), Generative AI (LLMs), or Agentic frameworks. You understand the trade-offs between "retroactive validation" and "forward…
Added 1 day ago
C
Senior Machine Learning Systems Engineer, LLM Inference Performance on AWS Trainium
Capgemini
Toronto, ON
- $72,056 to $138,940 CAD / year
Added 1 day ago
SM
ML Engineer, Trust & Safety [Hapiko]
Spin Master Ltd
Toronto, ON
- $136,700 to $182,300 CAD / year
- Full-time
…first-of-its-kind product and scaling it globally. Because it runs generative AI in children's homes, safety isn't a feature we add later. It's the core of the product. As our first…
Added 1 day ago
AW
Principal, Senior, Distinguished Engineer, AWS Foundational Data & Storage Services, AWS Foundational Data & Storage Services
Amazon Web Services Canada, Inc.
Vancouver, BC · Toronto, ON
- Full-time
…SageMaker), and the ultra-high-performance caching layers that make generative AI and analytics fast and trustworthy at enterprise scale. We're hiring Principal and Senior Principal…
Added 1 day ago
S
Senior AI Security Automation Engineer
SSB&T
Toronto, ON
- $120,000 to $202,500 CAD / year
- Full-time
Demonstrated experience architecting, developing, and deploying production-grade Generative AI and Large Language Model (LLM) based solutions, including agentic workflows, intelligent…
Added 1 day ago
Cross Business Go-To-Market Finance Program Lead, (1-2-year Fixed Term ), Deloitte Global Consulting
Deloitte
Toronto, ON
AI Mastery for Finance Professionals: Continue the current work that is establishing a consistent and common Generative and Agentic AI knowledge base among global finance professionals and…
Added 1 day ago
M-
Développeur.euse principal.e, Développement d’applications IA
Mila - Institut québécois d'intelligence artificielle
Montréal, QC
- Full-time
…language modeling, machine translation, object recognition and generative models. Since 2017, Mila has been the fruit of a collaboration between Université de Montréal and McGill…
Added 1 day ago
DT
Senior Advisor, Generative AI Adoption and Integration
Desjardins Technology Group
Lévis, QC
- Full-time
- Hybrid
As a senior advisor, generative ai adoption and integration, you lead the P&C insurance IT sector’s adoption of emerging and generative AI technologies by defining and implementing…
Added 1 day ago
Sr. Software Developer
Open Text Corporation
Richmond Hill, ON
The Senior Software Developer is a hands-on technical contributor and emerging technical lead who designs, develops, and supports Java and Spring Boot microservices running on Google Cloud…
Added 1 day ago
Lead Software Developer
Open Text Corporation
Richmond Hill, ON
We are seeking a hands-on Lead Software Developer to lead engineering delivery and the evolution of existing revenue-generating products. You will design, develop, and support Java and…
Added 1 day ago
SM
Associate Client Growth Lawyer
Success Matcher Recruitment
Toronto, ON
- Full-time
Pioneer AI in Legal Practice: Leverage leading generative AI tools daily and collaborate directly with in-house software engineers to optimize automated intake and follow-up platforms.
Added 1 day ago
SM
Senior Client Growth Lawyer
Success Matcher Recruitment
Toronto, ON
- Full-time
Work AI-First: Utilize generative AI platforms daily to manage pipeline stages, conduct legal research, and test proprietary intake platforms in live production.
Added 1 day ago
ET
Braze Lead Developer
EXL Talent Acquisition Team
Canada
- Hybrid
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 1 day ago
RC
Business Analyst - Non IT IV
Randstad Canada
Waterloo, ON
- $46.43 to $53.36 CAD / hour
- Contract
AI & Modern Methodologies: Demonstrated proficiency in using generative AI tools to accelerate research, document creation, data analysis, and process exploration.
Added 1 day ago
Analyst- Data & Automation / Data specialist (
Deloitte
Toronto, ON
Applying AI or generative AI technologies to business problems.
Added 1 day ago
C1
Senior Product Delivery Analyst
Company 19 - John Hancock Life Insurance Company (U.S.A.)
Toronto, ON
- Full-time
Integrating AI/ML or Generative AI capabilities into enterprise applications or workflows.

Capgemini

Senior Machine Learning Systems Engineer, LLM Inference Performance on AWS Trainium

Toronto, ON, Canada

$72,056 to $138,940 CAD / year

Apply on careers.capgemini.com About employer

Applications open in a new tab.

Job details

Pay: $72,056 to $138,940 CAD / year
Experience: 5+ years of experience in machine learning or systems engineering, including 2+ years focused on production model inference or serving.
Posting language: English
Posted: Oct 30, 2026

Original job description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Location

Remote anywhere in Canada

About the job you’re considering

We are seeking a hands-on machine learning systems engineer to optimize production-grade large language model inference across current and next-generation AWS Trainium platforms, including Trainium2 and Trainium3. The work focuses on decode latency, throughput under representative load, price-performance, long-context and multi-chip scaling, and reproducible benchmarking against leading GPU platforms.

Your role

Improve decode latency, throughput, and cost on AWS Trainium platforms, validating correctness at every step. Initial priorities include speculative decoding and native multi-token prediction (MTP) for Qwen-family models in vLLM on AWS Neuron.
Design and run matched, reproducible tests against leading GPU platforms, controlling prompts, concurrency, cache state, and warm-up. Deliver latency-throughput Pareto frontiers and price-performance comparisons aligned with customer service-level objectives.
Benchmark and migrate workloads across Trainium generations, including Trainium2 and Trainium3. Scale serving on multi-chip Trainium systems for long-context workloads, including contexts of 100K tokens or more, and apply architecture-specific optimizations.
Extend model coverage. Onboard additional architectures, including hybrid state-space and mixture-of-experts models, reusing and generalizing existing implementations where practical.
Create runbooks, implementation guides, and benchmark documentation, and support hands-on workshops so customer engineers can operate, reproduce, and tune the stack independently.

Your skills and experience

5+ years of experience in machine learning or systems engineering, including 2+ years focused on production model inference or serving.
Strong proficiency in Python and PyTorch, with the ability to read and modify model implementations involving attention, mixture-of-experts routing, and KV-cache management.
Hands-on experience with an LLM serving framework such as vLLM, TensorRT-LLM, SGLang, or Triton Inference Server.
Deep understanding of LLM inference performance, including prefill and decode, continuous batching, tensor and expert parallelism, and their impact on latency, throughput, and cost.
Experience profiling and optimizing accelerator workloads at the framework, compiler, or kernel level, and designing rigorous performance experiments.
Strong written and verbal communication skills, with the ability to explain engineering trade-offs to technical audiences and business impact to senior stakeholders.
Preferred qualifications include experience with AWS Trainium/Inferentia, the AWS Neuron SDK, and optimizing AI inference workloads, along with expertise in accelerator migrations, speculative decoding techniques, and kernel development using NKI, Triton, or CUDA.

The base compensation range for this role in the posted location is: $72,056 - $138,940/year

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

· Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

· Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

· Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

· Life and disability insurance

· Employee assistance programs

· Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Apply on careers.capgemini.com About employer

More about this job

Responsibilities

The Senior Machine Learning Systems Engineer at Capgemini will make large language models run faster and cheaper on AWS Trainium chips. They will also run fair tests against GPU platforms and write guides so customer engineers can repeat the work.

Requirements

Candidates need 5+ years in machine learning or systems engineering, with 2+ years on production model inference. They must be strong in Python and PyTorch and have hands-on experience with an LLM serving framework.

Skills

Python
PyTorch
vLLM
TensorRT-LLM
SGLang
Triton Inference Server
AWS Trainium
AWS Neuron SDK
Trainium2
Trainium3
NKI
Triton
CUDA
speculative decoding
multi-token prediction
mixture-of-experts
KV-cache management
tensor parallelism
expert parallelism
continuous batching
LLM inference optimization
performance benchmarking
accelerator profiling
kernel development
technical documentation

Benefits

Paid time off
Medical, dental and vision coverage
Retirement savings plan
Life and disability insurance
Employee assistance program

Keywords

Machine Learning Engineer
LLM inference
AWS Trainium
Trainium2
Trainium3
AWS Neuron
vLLM
TensorRT-LLM
SGLang
Triton Inference Server
PyTorch
Python
speculative decoding
mixture-of-experts
KV cache
CUDA
NKI
remote Canada
Capgemini

Seniority

Senior

Perks

Generous paid time off
Retirement plan
Wellness program

Tools

PyTorch
vLLM
AWS Trainium
AWS Neuron SDK
TensorRT-LLM
SGLang
Triton Inference Server
CUDA

Languages

English

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Work requirements

Jobs in Canada