Find work in Canada.

322,984 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 9 mins ago
Sr. Director, Total Rewards
Array Marketing
Toronto, ON · Scarborough, Ontario
Full-time
Provide total rewards leadership and due diligence support for mergers, acquisitions, integrations, new business development and divestitures, including assessment of compensation,…
Added 9 mins ago
District Sales Manager
Flanagan Foodservice Inc
Moncton, New Brunswick
$90,000 to $110,000 CAD / year
Full-time
The District Sales Manager (DSM) is charged with leading our team of Business Development professionals in the field, and with growing sales within the Maritimes market. This role is…
Added 23 mins ago
Co-Founder & CEO - AI-Native Accounting Roll-Up
FutureSight
Canada
Full-time
…businesses that have always treated clean books as a luxury. The people stay. Agents take the routine work, and staff move into advisory and client work where accountability and judgment…
Added 23 mins ago
Co-Founder & CEO - AI Automation for Growing Companies
FutureSight
Canada
Full-time
…company knows AI is its next growth lever, but few have the people to turn it into working systems. Implementation is the scarce resource. Loomwork helps them find where AI will pay off,…
Added 23 mins ago
Account Manager
SafetyCo
Waterloo, ON
Full-time
You naturally recognize opportunities to create additional value for clients while contributing to business growth
Added 23 mins ago
Business Apprenticeship – Sales & Recruitment
Altis
Toronto, ON
$48,000 to $55,000 CAD / year
Contract
Launch your career with Altis through a hands-on apprenticeship designed to help you build practical business skills in a supportive, high-performance environment. Whether your interests…
Added 24 mins ago
Cemetery and Funeral Planning Partner
THE BEECHWOOD CEMETERY
Ottawa, ON
$100,000 to $150,000 CAD / year
Full-time
…committed to providing exceptional client care. You enjoy helping people navigate complex decisions with empathy, professionalism, and confidence. Whether supporting families planning ahead…
Added 24 mins ago
Activity Supervisor - The Adventure Group
Gibbons Whistler
Whistler, BC
$27 to $28 CAD / hour
At Gibbons Whistler, we’re all about Making People Happy. Since 1979, we have been the backbone of Whistler hospitality bringing people together through unforgettable experiences.
Added 24 mins ago
Part-Time Retail Staff
Brewers Retail Inc
Greater Napanee, ON · Napanee, Onta
Part-time
…part of communities across Ontario, growing into an integrated business that includes Ontario's largest beer retailer, a leading beverage distributor, and a trusted partner in beverage…
Added 24 mins ago
Associate Analyst, Vendor Compliance
The Aldo Group Inc / Le Groupe Aldo Inc.
Montreal, QC
…brands, ALDO and Call It Spring, and we are the core footwear partner for Sperry in North America. The ALDO Group is also an industry-recognized wholesale licensed partner, specializing in…
Added 24 mins ago
Analyst, Demand Management
The Aldo Group Inc / Le Groupe Aldo Inc.
Montreal, QC
…brands, ALDO and Call It Spring, and we are the core footwear partner for Sperry in North America. The ALDO Group is also an industry-recognized wholesale licensed partner, specializing in…
Added 24 mins ago
Business Advisor- University Plaza
Scotiabank
Hamilton, ON
Our Advisors are customer-centric and able to connect with people in a relatable way. As an essential member of the Canadian Banking Branch network, the focus is to provide exceptional…
Added 24 mins ago
Account Manager, APAC
Merrithew International Inc.
Toronto, ON
Full-time
Acting as both a strategic partner and a primary point of contact, the Account Manager supports clients throughout the full lifecycle of education delivery: from business development and…
Added 24 mins ago
Vineyard Business Analyst
Iconic Wineries of British Columbia
West Kelowna, BC
Full-time
Partner closely with Vineyard Managers, operational leaders, finance teams, vendors, and stakeholders across the business.
Added 24 mins ago
Senior Analyst, AI Enablement & Analytics
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
The successful candidate combines strong analytical skills with business acumen, acts as a trusted analytics partner, and bridges technical and business stakeholders to help AI initiatives…
Added 24 mins ago
Store Manager- Centre Les Rivieres
Pandora
Trois-Rivières, QC
Full-time
As the largest jewellery brand in the world, we a give a voice to millions of people’s loves every day. Our beautiful products empower people all around the world to express themselves. We…
Added 24 mins ago
Human Resource Generalist Contract
Britespan Building Systems Inc
Wingham, ON
$65,000 to $75,000 CAD / year
Contract
…an important role in supporting our employees, leaders and business. This is a great opportunity for an HR professional who enjoys variety, building relationships, solving problems and…
Added 24 mins ago
Consult Associate Partner Travel and Transportation
Kyndryl
Toronto, ON
Full-time
…faster innovation, and a lasting competitive edge. For our people - Kyndryls - that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive…
Added 24 mins ago
Manager, Commercial Finance
CONA Services
Toronto, ON
Serve as Finance Business Partner to Category Commercial teams by leading category P&L reviews and translating results into actionable insights.
Added 24 mins ago
Sr. Business Analyst (Merchandise Financial Planning) (Hybrid)
Foot Locker
Toronto, ON
$60,000 to $70,000 CAD / year
Full-time
…agility and edge that define the brand. We’re looking for great people who want to influence culture and the generation that is shaping what’s…
Added 38 mins ago
Manager Credit Risk Management (Full Time 12 Month Contract)
IG Wealth Management
ON · Ontario, Canada
Full-time
Partner with business leaders to resolve high-impact escalations while ensuring adherence to established risk and compliance standards.
Added 38 mins ago
Account Manager
Bushbalm Skincare
Ottawa, ON
Full-time
…body. We create effective, results-driven products that help people feel confident in their skin, from the bikini line to underarms and…
Added 39 mins ago
Client Coordinator, Employee Benefits & Retirement
HUB International
Toronto, ON
Part-time
At HUB, we believe the best work happens when people are given real space to grow and then given the autonomy to exercise it. We power progress and protect ambition: for the clients who…
Added 39 mins ago
Senior Manager, Bid & Proposal
Sopra Steria
Montreal, QC
Full-time
…of safety and mission-critical systems. Our Defense Products business line develops and delivers advanced solutions for Counter UAV, Voice communication Systems and Tactical Data…
Added 39 mins ago
Engineering Services During Construction (ESDC) Manager - PEng
AECOM
Pickering, ON
$120,000 to $170,000 CAD / year
Full-time
…access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve…

Siemens

Machine Learning Systems and Infrastructure Developer

Kitchener, ON, Canada

Job type: Full-time
Apply by: Oct 31, 2026
Experience: 3+ years of Strong experience building ML platforms, training infrastructure, MLOps systems, model lifecycle tooling, or production AI infrastructure.
Posting language: English
Posted: Oct 1, 2026

Apply About employer

Applications open in a new tab.

Original job description

Change the future with us.

We are looking for dedicated and talented people who solve ever-changing challenges, customer needs, and questions from colleagues with clever concepts and creativity. We embrace change and work with curious minds re-inventing the future of work. Join us and let us focus together on what’s truly important: making lives better with new ideas and the latest technology around the world.

About the role:

Are you excited by the engineering work that turns model development into repeatable, governed production rollout?

Do you enjoy building the infrastructure behind training jobs, GPU environments, experiment tracking, model registries, evaluation gates, and controlled deployment of robotics AI models?

We are seeking a Machine Learning Systems and Infrastructure Developer to build the training infrastructure and model rollout layer for Physical AI. This developer will provision and operate ML environments, automate training and evaluation pipelines, manage model artifacts and registries, and define the promotion path from trained model to validated runtime candidate. The role connects robotics data, partner VLA/RFM work, model evaluation, release gates, and runtime deployment without owning robotics data semantics or the final runtime integration layer alone.

What will you do?

Provision and maintain ML training environments for robotics AI workloads across local, edge, on-premise, and cloud-backed infrastructure where applicable.
Build repeatable training, fine-tuning, evaluation, and model-packaging pipelines for VLA, VLM, perception, and robot-learning workflows.
Manage model artifacts, model registries, dataset references, experiment metadata, lineage, approvals, promotion states, and rollback paths.
Automate GPU resource allocation, job scheduling, environment reproducibility, dependency management, and capacity tracking.
Define model rollout workflows from training output to validated runtime candidate, including evaluation gates, release notes, traceability, and operational handoff.
Partner with the Senior AI/ML and Robotics Platform Engineer on dataset readiness, evaluation semantics, and model-quality criteria.
Partner with ML inference, Edge Runtime, AX integration, QA, and DevOps engineers on packaging, deployment readiness, observability, and release automation.

What you will bring:

Bachelor's or Master's degree in Computer Science, Machine Learning, Robotics, Computer Engineering, Software Engineering, Electrical Engineering, or a related field.
3+ years of Strong experience building ML platforms, training infrastructure, MLOps systems, model lifecycle tooling, or production AI infrastructure.
Strong programming skills in Python and practical experience with containers, Linux, automation, APIs, configuration management, and reproducible environments.
Experience with training orchestration, job scheduling, GPU provisioning, artifact management, experiment tracking, model registries, or release pipelines.
Practical experience with ML frameworks and infrastructure such as PyTorch, Hugging Face tooling, Ray, Kubernetes, Slurm, MLflow, Weights & Biases, Docker, CUDA, or comparable systems.
Understanding of GPU capacity, storage, networking, data locality, dependency isolation, cost controls, and failure recovery for training workloads.
Experience connecting datasets, metadata, evaluation outputs, model artifacts, and deployment packages through traceable workflows.
Ability to define model promotion and rollback processes with clear gates for quality, reproducibility, security, and runtime readiness.
Experience partnering with data engineering, ML research, robotics, DevOps, QA, and runtime teams to make model development operational.
Strong troubleshooting skills across training jobs, data access, dependencies, GPU infrastructure, model artifacts, and rollout automation.

What sets you apart:

Experience with VLA, VLM, robotic foundation models, robot learning, imitation learning, reinforcement learning, or multimodal training workflows.
Experience operating GPU clusters, shared training platforms, high-volume data pipelines, or hybrid on-premise and cloud ML infrastructure.
Experience with distributed training, multi-node GPU workloads, or training orchestration frameworks such as Ray, Slurm, Kubernetes, Kubeflow, or comparable systems.
Experience designing portable ML infrastructure across on-premise, cloud, or multicloud environments, including data locality, reproducibility, access control, and cost management.
Familiarity with dataset versioning, data lineage, model cards, evaluation reports, approval workflows, and audit-ready model release practices.
Experience with NVIDIA tooling, CUDA environments, distributed training, model export, quantization handoff, or edge-deployment preparation.
Knowledge of governance concerns for robotics AI models, including reproducibility, traceability, fallback versions, data provenance, and release accountability.
Ability to separate training infrastructure ownership from robotics data semantics, runtime inference optimization, and industrial platform integration.
Strong judgment about when a model is ready to leave experimentation and enter controlled runtime validation.

Work Environment:

This role is primarily focused on software and infrastructure, with close collaboration across robotics data, ML research, QA, DevOps, edge runtime, and platform integration teams.
Hybrid work is supported, with on-site presence expected for training environment setup, model rollout validation, data pipeline integration, and reference-cell release readiness.

Salary is commensurate with experience, and ranges between $ 90,000 CAD- $ 140,000 CAD, excluding bonus and benefits. In addition to base salary, this role includes eligibility for an annual discretionary bonus of 10% of base salary, based on Company performance metrics. 

Why Join Us?

Impact: Build the founding team and platform capability for a strategic Physical AI initiative in Canada.
Innovation: Work at the intersection of robotics, AI, industrial software, workflow orchestration, and platform engineering.
Leadership: Shape the direction, culture, and operating model of a new strategic engineering organization.
Collaboration: Partner with leading global research, product, and engineering teams.
Growth: Help define how Physical AI platform capabilities scale from data foundations to runtime-enabled industrial applications.

Why you’ll love working for Siemens!

Freedom and a healthy work- life balance– Embrace our flexible work environment with flex hours, telecommuting and digital workspaces.
Solve the world’s most significant problems – Be part of exciting and innovative projects.
Engaging, challenging, and fast evolving, cutting edge technological environment.
Opportunities to advance your career and mentorship programs on a local and global scale.
Competitive total rewards package.
Profit sharing available.
Rewarding vacation entitlement with the opportunity to buy and sell your vacation depending on your lifestyle.
Contribute to our social responsibility initiatives focused on access to education, access to technology and sustaining communities and make a positive impact on the community.
Participate in our celebrations, social events and offsite business events.
Opportunities to contribute your innovative ideas and get paid for them!
Employee perks and discounts.
Diversity and inclusivity focused.

Siemens is proud to be an eight-time award winner of Canada’s Top 100 Employers, Canada’s Greenest Employers 2025 and Canada’s Top Employers for Young People 2025.

About Us.

We share our ideas and champion the people behind them.

Siemens Canada is a leading technology company focused on industry, infrastructure, mobility and healthcare. The company’s purpose is to create technology with purpose, transforming the everyday, for everyone, since 1912. By combining the real and the digital worlds, Siemens empowers its customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more liveable, and transportation more sustainable. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

In fiscal 2024, which ended September 30, 2024, Siemens Canada had revenues of approx. $2.2 billion CAD. The company has approximately 4,400 employees from coast-to-coast and 37 office and production facilities across Canada.

To learn more about Siemens Canada, visit our website at www.siemens.ca

While we appreciate all applications we receive, we advise that only candidates under consideration will be contacted.

Canada

Apply About employer

More about this job

Responsibilities

Build and operate machine-learning training infrastructure and repeatable pipelines for robotics AI, including GPU resources, experiment tracking, model artifacts, registries, and evaluation. Define traceable model promotion, validation, deployment-readiness, and rollback workflows in collaboration with robotics, ML, runtime, QA, and DevOps teams.

Requirements

Requires a bachelor's or master's degree in a relevant technical field and at least three years of experience building ML platforms, training infrastructure, MLOps systems, or production AI infrastructure. Candidates should have strong Python and Linux skills, practical experience with containers and ML infrastructure tools, and knowledge of GPU workloads, reproducible environments, model lifecycle workflows, and release governance.

Skills

Python
Machine Learning Infrastructure
MLOps
Training Orchestration
GPU Provisioning
Model Lifecycle Management
PyTorch
Kubernetes
Slurm
Ray
MLflow
Docker
CUDA
Experiment Tracking
Model Registries
Distributed Training

Benefits

Annual Discretionary Bonus
Flexible Work Environment
Flexible Hours
Telecommuting
Career Advancement Opportunities
Mentorship Programs
Profit Sharing
Vacation Purchase And Sale Options
Social Responsibility Initiatives
Social And Business Events
Employee Perks And Discounts

Visa sponsorship

Not detected in the job text

Keywords

Physical AI
Robotics AI
Machine Learning Infrastructure
MLOps
Python
PyTorch
Hugging Face
Ray
Kubernetes
Slurm
Kubeflow
MLflow
Weights & Biases
Docker
Linux
CUDA
GPU Provisioning
Distributed Training
Training Orchestration
Experiment Tracking
Model Registries
Model Lifecycle Management
Model Evaluation
Model Packaging
Dataset Versioning
Data Lineage
VLA
VLM
Robot Learning
Edge Deployment

Report this job