Jobs in Canada

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Added 11 hours ago
SS
Prep Cook
Sienna Senior Living
Kingston, ON
- Part-time
Must have a valid Safe Food Handling Certificate · Must possess good public relations and communication skills
Added 11 hours ago
SS
Housekeeping Aide-Permanent Part Time-(12:00 - 20:00 Hrs)
Sienna Senior Living
ON
- Part-time
…with the individuals. In this role, you will provide heartfelt support to our residents by maintaining a clean and comfortable living environment. Each day offers a new chance to enhance…
Added 11 hours ago
SC
Director of Youth Programs
Street Culture Kidz Project Inc.
Regina, SK
- $31 to $36 CAD / hour
- Full-time
…This role is an opportunity to shape the quality of care and support provided to vulnerable youth while developing strong program leaders, strengthening accountability, and ensuring our…
Added 11 hours ago
MM
Executive Program Manager
Marvel Marketers
Canada
- Full-time
Apply strong mathematical, quantitative, and analytical skills to evaluate financial information, analyze program performance, identify variances, and support data-driven decision-making.
Added 11 hours ago
SK
Cashier, Hourly Part Time Day
SDM Kenora Main S (1695927 ONTARIO LIMITED)
Kenora, ON
- Part-time
Each store has an Associate-Owner, so you will work for a local business owner while having the support of a national brand. Benefit from a purchase discount program, flexible and varied…
Added 11 hours ago
ST
Pharmacy Assistant, Hourly Part Time Day Greenlight Requisition
SDM Toronto Queen (Alyssa Debaie Pharmacy Inc)
Toronto, ON
- Part-time
Each store has an Associate-Owner, so you will work for a local business owner while having the support of a national brand. Benefit from a purchase discount program, flexible and varied…
Added 11 hours ago
C
Senior Machine Learning Systems Engineer, LLM Inference Performance on AWS Trainium
Capgemini
Toronto, ON
- $72,056 to $138,940 CAD / year
Create runbooks, implementation guides, and benchmark documentation, and support hands-on workshops so customer engineers can operate, reproduce, and tune the stack independently.
Added 11 hours ago
FS
Monitor/Aide
First Student
Saskatoon, SK
- $18.75 CAD / hour
- Part-time
Employee Assistance Program (EAP): Counseling and support services for personal and work-related issues.
Added 11 hours ago
Warehouse Lead Hand
Ashcroft Terminal Ltd
Ashcroft, BC
For success in this role, you must have:
Added 11 hours ago
Terminal Coordinator
Ashcroft Terminal Ltd
Ashcroft, BC
For success in this role, you must have:
Added 11 hours ago
Customer Service Representative
Circle K
Falmouth, NS
Night shift premium
Added 11 hours ago
C
Personal Care Specialist (12-month contract)
Cencora
BC
- Full-time
Supports financial assistance enrollment by collecting patient eligibility information, completing manufacturer copay applications, and submitting paperwork to program administrators.
Added 11 hours ago
H
Sales Manager
Hyatt
Sydney, NS
- Full-time
Support through Hyatt’s Employee Assistance Program for mental health and wellbeing.
Added 11 hours ago
GARAGE - Seasonal Sales Associate - Vaughan Mills
Groupe Dynamite, Inc Garage
Vaughan, ON
…visits into long-term relationships with the brand. You’ll also support the daily flow of the store, keeping everything running smoothly while upholding our brand and visual…
Added 11 hours ago
Community Disability Worker: One Sunday Per Month
Robin Hood Association
Sherwood Park, AB
All employees may be required to work in any program area during staffing shortages or emergencies or to better support the needs of the individuals or program.
Added 11 hours ago
Lab Technician
Roska DBO
Fort St. John, BC
Ability to comply with a 5/2 schedule, day shift
Added 11 hours ago
Emergency Veterinarian
YegVet Inc
Edmonton, AB
…fluoroscopy, in-house laboratory services, and 24-hour RVT…
Added 11 hours ago
S
Education Assistant
Secpwepemc/St’atl’imc/Nlaka’pamux
Savona, BC
- Full-time
Directly monitor identified students to support the completion of school work and assist in the supervision of individuals and/or small groups of students in school and during…
Added 11 hours ago
FINANCIAL SERVICES ADVISOR
Bannister Automotive Group
Kelowna, BC
Group RSP contribution program for long-term financial support
Added 11 hours ago
KG
Human Resources Business Partner
Kamper Group
Lethbridge, AB
- Full-time
Reporting to the Kamper family, the Human Resources Business Partner will provide practical HR support to employees and leaders across the organization. This newly created role will manage…
Added 11 hours ago
Y
Bus Driver
YBC
Prince George, BC
- $25.23 CAD / hour
Collaborate effectively with team members to foster an inclusive environment that offers support, strategies, and resources for children with diverse needs to fully engage in the program.
Added 11 hours ago
OC
SPEAC Therapist
Options Community Services
Surrey, BC
- $47.26 to $57.84 CAD / hour
Reporting to the Program Manager, the successful candidate will provide client-centered counseling services through both referrals and self-referrals. This includes delivering individual,…
Added 11 hours ago
ML
Customer Service Representative
Motion LP
Langley, BC
- $37,960 to $49,600 CAD / year
Tenure recognition through our Motion Milestone Program
Added 11 hours ago
C
Community Disability Worker I (Full-time)
CSS
Red Deer, AB
- $19.3 to $20.48 CAD / hour
- Full-time
…opportunity? Do you want to provide a high quality of group care and support as well as be a role model for adults with developmental disabilities? If the answer is “Yes!”, this is the job…
Added 11 hours ago
FH
Project leader, redevelopment & major projects
Fraser Health Authority
New Westminster, BC
- $38.88 to $55.89 CAD / hour
We are a diverse team composed of dedicated professionals who thrive in a collaborative culture. We support learning, customer service, communication and success.

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