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Added 14 mins ago
PROJECT MANAGER (Organizational Development)
City of Toronto
Toronto, ON
Reporting to the Program Manager Business Support, the Project Manager initiates, plans and oversees the implementation of division-wide priorities and provides strategic advice and…
Added 14 mins ago
PROJECT MANAGER (Council Engagement)
City of Toronto
Toronto, ON
Maintains systems, tools, and reporting mechanisms to monitor the status of Council-directed initiatives, identify emerging implementation risks, and support accountability and reporting to…
Added 14 mins ago
Apprenticeship Specialist
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Full-time
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…with management to align network capabilities with broader business unit…
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Associés aux ventes – temps partiel - Promenades St Bruno
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Director Sales Experience
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…customer-centricity while ensuring sales strategies align with our broader business…
Added 14 mins ago
Assistant Chef Manager
Farm Boy Inc.
Ottawa, ON
From $21 CAD / hour
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Completion of a post-secondary program with an emphasis in business, plus a minimum of 1 year of progressively responsible supervisory or management experience in a similar role, or an…
Added 14 mins ago
Senior Consultant, Infrastructure Cost & Commercial (Senior Estimator/QS)
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You have actively participated in challenging target cost submissions and produced cost plans as part of client business case submissions.
Added 14 mins ago
Executive Assistant
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Calgary, AB
Full-time
…stakeholders, ensuring seamless communication and execution of daily business…
Added 14 mins ago
Assessment Clerk
County of Grande Prairie No. 1
Clairmont, AB
Full-time
…entry, calculations, interpretation and using a variety of systems, databases and software programs, such as Camalot Software, Asset, GIS, MLS and Microsoft Office. This position ensures…
Added 14 mins ago
Junior Process Engineer
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…community supporter. Our private ownership provides long-term business planning and strategic decision horizons supported by a strong financial…
Added 28 mins ago
Manager, Maintenance
Aurora Cannabis Inc.
Mount Currie 6, BC
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…support the replacement, upgrade, and modernization of critical systems and…
Added 28 mins ago
Receptionist (Permanent / Full-Time)
BC Legal Management Association
Surrey, BC
Full-time · Other
Experience: At least three years as a receptionist or in a similar customer service role. Experience in a law firm or other professional services business would be an asset.
Added 28 mins ago
Supervisor Work Equipment
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Added 28 mins ago
CUPE 2331 Temporary Specialized Educational Intervenor - Area South and West
York Catholic District School Board
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Support specific programs in language (e.g., augmentative and alternative communication systems), social - emotional learning (e.g., self-regulation), and behaviour (e.g., safety) as…
Added 28 mins ago
Associate Director, Procurement Services
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Toronto, ON
Full-time
…treasury, procurement and payables, collection services, financial systems and training and providing excellent client service, advising and assisting departments on research, budgetary and…
Added 28 mins ago
Assessment Clerk
County of Grande Prairie
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Full-time
…entry, calculations, interpretation and using a variety of systems, databases and software programs, such as Camalot Software, Asset, GIS, MLS and Microsoft Office. This position ensures…
Added 28 mins ago
Business Writer
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Toronto, ON
$55,000 to $65,000 CAD / year
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…SaaS, and quantum computing solutions for mission-critical business applications. Since 2017, the company has leveraged its software development expertise and expanded its drone design and…
Added 28 mins ago
Assistant Financial Controller
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Review and summarize capital expenditure requests and assess the financial/business case for proposed investments.
Added 28 mins ago
REGISTERED NURSE (RN), CLINICAL ANALYST, ACUTE CARE
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…Acute Care clinical applications. Participates in clinical business reviews, needs assessments, and contributes to the development of policies and processes that support use of Acute Care…
Added 28 mins ago
Senior Solutions Designer
Flexstaf I.T. Inc.
Toronto, ON · Greater Toronto Area, Canada
Contract
Ministry: Ministry of Public and Business Service Delivery and Procurement
Added 28 mins ago
Business Analyst
TMX Group
Toronto, ON
$120,000 to $130,000 CAD / year
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…operating model, we're powering some of the nation's most critical systems, fueling capital formation and innovation, bringing increased opportunity to business visionaries, product…
Added 28 mins ago
Software Supply Chain Security Engineer
Actalent
Ottawa, ON · Nepean, ON
$65 to $85 CAD / hour
Contract
Investigate findings beyond the initial scan output to determine exploitability, severity, business impact, and remediation priority.
Added 28 mins ago
Senior Analyst, Investor Relations (12 Months Contract)
TMX Group
Toronto, ON
$55 to $65 CAD / hour
Full-time
…operating model, we're powering some of the nation's most critical systems, fueling capital formation and innovation, bringing increased opportunity to business visionaries, product…

Siemens

Machine Learning Systems and Infrastructure Developer

Kitchener, ON, Canada

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 2, 2026

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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.

Siemens is committed to creating a diverse environment and is proud to be an equal opportunity employer. Upon request, Siemens Canada will provide reasonable accommodation for disabilities to support participation of candidates in all aspects of the recruitment process. All qualified applicants will receive consideration for employment.

By submitting personal information to Siemens Canada Limited or its affiliates, service providers and agents, you consent to our collection, use and disclosure of such information for the purposes described in our Privacy Notice available at www.siemens.ca.

Siemens s’engage à créer un environnement diversifié et est fière d’être un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Sur demande, Siemens Canada prendra des mesures d’accommodement raisonnables pour les personnes handicapées, dans le but de soutenir la participation des candidats dans tous les aspects du processus de recrutement. Tous les candidats qualifiés seront pris en considération pour ce poste.

En transmettant des renseignements personnels à Siemens Canada limitée ou à ses sociétés affiliées, à ses fournisseurs de services ou à ses agents, vous nous autorisez à recueillir, à utiliser et à divulguer ces renseignements aux fins prévues dans notre Déclaration de protection de la confidentialité, que vous pouvez consulter au www.siemens.ca.

Job ID

524099

Posted since

01-Oct-2026

Organization

Digital Industries

Field of work

Research & Development

Company

Siemens Canada Limited

Experience level

Experienced Professional

Job type

Full-time

Work mode

Hybrid (Remote/Office)

Employment type

Permanent

Location(s)

Kitchener - Ontario - Canada

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More about this job

Responsibilities

The developer will build and maintain infrastructure for training robotics AI models, including GPU resource management, experiment tracking, and model rollout pipelines. They will collaborate with cross-functional teams to ensure model reproducibility, scalability, and operational readiness.

Requirements

Candidates must hold a Bachelor's or Master's degree in a relevant engineering or science field and possess at least 3 years of experience in ML platform or infrastructure development. Strong proficiency in Python, containerization, and experience with ML frameworks like PyTorch or Ray is required.

Skills

Python
Machine Learning
Robotics
MLOps
Infrastructure Development
Kubernetes
PyTorch
GPU Provisioning
Docker
Slurm
Ray
Model Lifecycle Management
Automation
Linux
CI/CD
Distributed Training

Benefits

Annual discretionary bonus
Flexible work environment
Telecommuting
Digital workspaces
Mentorship programs
Profit sharing
Vacation entitlement
Employee perks and discounts
Social responsibility initiatives

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Robotics
Infrastructure
MLOps
Physical AI
Python
Kubernetes
PyTorch
Ray
Slurm
Docker
CUDA
GPU
Model Registry
Automation
CI/CD
VLA
VLM
Perception
Data Lineage
Observability
DevOps
Cloud Infrastructure
On-premise
Distributed Training
Model Lifecycle
Software Engineering
Robotic Foundation Models
Governance
Traceability

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