Jobs in Canada

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Added 1 month ago
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Infrastructure DevOps Analyst
Citi
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Senior DevOps Engineer with a strong focus on Python development to join our dynamic Technology team. In this intermediate-level position,…
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AVP, AI
Manulife
Toronto, ON
- Full-time
8+ years in data science, AI/ML engineering, or applied machine learning, including significant experience leading delivery of complex AI programs at scale.
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Ingénieur en développement logiciel de tests (SDET)
EXFO
Montreal, QC
- Full-time
· Solides compétences en programmation ou en script avec Java, JavaScript/TypeScript, Python, Go ou des langages comparables.
Added 1 month ago
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Machine Learning Developer
P&P Optica
Waterloo, ON
- $115,000 to $120,000 CAD / year
- Full-time
We are looking for a rigorous, delivery-focused Machine Learning Developer with 3 or more years of experience who thrives at the intersection of software development and machine learning…
Added 1 month ago
CI
Lead Engineer, Credit Investments, Alternative Investments Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
…capabilities. You will provide technical leadership, drive engineering excellence and continuous improvement, and coach colleagues while partnering across Technology & Data and the business…
Added 1 month ago
CI
Lead Engineer, Active Equities, Public Markets Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
…Technology, you will partner with investment professionals, data teams, and technology colleagues to deliver scalable applications, analytical platforms, and data-driven products. You will…
Added 1 month ago
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Structural Vibration Engineer
Thornton Tomasetti
Mississauga, ON
- Full-time
Thornton Tomasetti applies engineering and scientific principles to solve the world’s challenges. An independent organization of creative thinkers and innovative doers collaborating from…
Added 1 month ago
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Quality Assurance Analyst
Spait Infotech
Canada
- Full-time
Create detailed test plans, test scenarios, test cases, and test data.
Added 1 month ago
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Developer/Senior Developer - Payments and Tokenization
Bank of Canada
Toronto, ON
- Temporary
Candidates must have a bachelor's degree in computer science, computer engineering, or a related field, along with:
Added 1 month ago
BC
Data Platform Administrator/Developer
BBA Consultants
Mont-Saint-Hilaire, QC · Mont-St-Hilaire, QC
- Full-time
In this role, you’ll have the opportunity to design, develop and optimize modern data platforms while helping shape how organizations use their data to create value. This role combines…
Added 1 month ago
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Senior Forward Deployed Engineer (FDE)
Open Systems Technologies
Toronto, ON
- Contract
We are seeking a Senior Forward Deployed Engineer (FDE) with deep Java and Python technology expertise to work directly with our Fintech clients in the Spread Products space. This is a…
Added 1 month ago
BC
Data Platform Administrator/Developer
BBA Consultants
Montreal, QC
- Full-time
In this role, you’ll have the opportunity to design, develop and optimize modern data platforms while helping shape how organizations use their data to create value. This role combines…
Added 1 month ago
BC
Data Platform Administrator/Developer
BBA Consultants
Boisbriand, QC
- Full-time
In this role, you’ll have the opportunity to design, develop and optimize modern data platforms while helping shape how organizations use their data to create value. This role combines…
Added 1 month ago
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Site Reliability Engineer / Release Management & Automation Specialist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Bring us your passion for digital or data analytics, and we’ll put you to work on exciting initiatives that answer the challenge: "How can we do that better?” Working with a dedicated team…
Added 1 month ago
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AI Native Developer (Agentic / Applied)
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
…inside real client organizations. The difference between an AI Developer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned…
Added 1 month ago
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AI Native Solutions Lead (Agentic / Applied)
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
Proficiency in Python; experience with Java or equivalent backend language acceptable
Added 1 month ago
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AI Native Development Lead - Reinvention Center
Accenture
Mississauga, ON · Montreal, QC
- Full-time
This role will require a minimum of 3 days per week in the office
Added 1 month ago
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Oliver Wyman - Software Developer - Data & Analytics (DNA) Team
Marsh McLennan
Montreal, QC
- Full-time
Il s’agit d’un poste hybride, nécessitant une présence d’au moins trois jours par semaine au bureau de Montréal ou sur place chez les clients
Added 1 month ago
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Senior Data Engineer
Clio
Toronto, ON
- Full-time
We are currently seeking a Senior Data Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative data solutions and being…
Added 1 month ago
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HVDC and Power Systems Engineer/Specialist
Stantec
Kelowna, BC
- Full-time
…grid infrastructure. And as part of one of the world’s top engineering firms, you’ll have the chance to create connections and grow professionally while helping to evolve our power…
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Senior Python Developer with AWS
Luxoft
Toronto, ON
- Contract
Implement workflow automation and data pipelines where needed
Added 1 month ago
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Machine Learning Resident - Client: Publicus (12 month term)
Amii (Alberta Machine Intelligence Institute)
AB · Edmonton, AB
- Full-time
…with backgrounds in ML research, project management, software engineering, and new product development. This is a rare opportunity to be mentored by world-class scientists and to develop…
Added 1 month ago
Application Developer - Co-op
Wawanesa Insurance
Winnipeg, MB · Kitchener, ON · Ottawa, ON · Toronto, ON · North York - Toronto, ON (Hybr, ON
…location, local labour market conditions, external market salary data, internal pay equity and the knowledge, skills, experience and anticipated proficiency in the role. The salary offered…
Added 1 month ago
Software Engineer
Scotiabank
Toronto, ON
We are seeking a highly skilled Software Engineer to design, develop, and support enterprise applications and data platforms. The role requires strong hands-on expertise in software…
Added 1 month ago
C
Senior Data Engineer
Clio
Canada
- Full-time
We are currently seeking a Senior Data Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative data solutions and being…

Amii (Alberta Machine Intelligence Institute)

Machine Learning Resident - Client: Publicus (12 month term)

AB, Canada
Edmonton, AB, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 7, 2026

Original job description

“If you are excited about applying to LLMs to tackle real-world challenges in government procurement, this is a perfect opportunity for you. Be a part of the team of research and machine learning scientists building deployable real-world ML applications from ground up and get mentored by some of the best minds in AI during the process.”

Maithrreye Srinivasan, Machine Learning Scientist and Amor Provins, Product Owner, Advanced Technology

About The Role

This is a paid Residency that will be undertaken over a twelve-month period with the potential to be hired by our client, Publicus, afterwards (note: at the discretion of the client). The Resident will report to an Amii Scientist and regularly consult with the client team to share insights and engage in knowledge transfer activities.

Successful candidates will be members of a cross-functional project team with backgrounds in ML research, project management, software engineering, and new product development. This is a rare opportunity to be mentored by world-class scientists and to develop something truly impactful.

About The Client

Publicus is Canada’s fastest growing govtech company, building the data and intelligence layer for government procurement: helping businesses find and win public-sector contracts and helping governments cut waste, prevent fraud, and buy Canadian. We millions of fragmented, multimodal procurement records into searchable, trusted intelligence.

We are AI-native by default: AI is part of everything we build, product and operations alike, which lets a small team move at a pace a far larger one cannot.

A central objective of this initiative is to transform how governments and businesses interact with procurement documents by reducing manual review, accelerating information retrieval, and improving data quality. Through intelligent automation, Publicus aims to lower procurement processing costs, improve operational efficiency, and provide trusted procurement intelligence that supports faster, more informed public sector decision-making.

In collaboration with Amii, Publicus is developing next-generation AI capabilities for government procurement document intelligence through the generation of realistic synthetic multimodal procurement documents, including adversarial variants that closely resemble authentic procurement documents while containing safe, non-sensitive data. These datasets will be used to train, evaluate, and benchmark multimodal AI models, enabling robust information extraction and reliable deployment within secure government environments.

About The Project

This project develops advanced AI capabilities for government procurement document intelligence using Document AI, computer vision, optical character recognition (OCR), Vision Language Models (VLMs), and Large Language Models (LLMs). The goal is not a research artifact but a robust, deployable multimodal pipeline that understands, extracts, validates, and benchmarks key information from complex government documents - RFPs, contracts, invoices, and supporting procurement records - and runs reliably in secure, low-compute government environments.

A core component of the project is developing realistic synthetic multimodal procurement documents to overcome the limitations of publicly available procurement datasets, which are often incomplete or heavily redacted. The Resident will generate synthetic and adversarial document variants, investigate state-of-the-art document understanding models, benchmark and fine-tune multimodal AI systems, and develop reliable extraction pipelines that improve robustness, efficiency, and deployment readiness for secure, low-compute environments.

Required Skills / Expertise

Are you passionate about building great solutions? You’ll be presented with opportunities to both personally and professionally develop as you build your career. We’re looking for a talented and enthusiastic individual with a solid background in machine learning, large language models, along with proven experience in applied settings.

Key Responsibilities

Design, evaluate, and ship multimodal document intelligence pipelines using OCR, computer vision, Vision Language Models (VLMs), and Large Language Models (LLMs) for government procurement document understanding - orchestrating models and agentic workflows through to production, not stopping at notebook prototypes.
Prepare, curate, and annotate procurement datasets, including realistic synthetic and adversarial document variants, for model training, fine-tuning, benchmarking, and evaluation.
Conduct applied research in Document AI, computer vision, multimodal learning, and information extraction - and translate it into robust, deployable extraction pipelines that run reliably in secure, low-compute government environments.
Benchmark and evaluate state-of-the-art OCR engines, Document AI models, and Vision Language Models, while investigating efficient inference techniques such as quantization, model compression, and optimized transformer serving.
Ship client-focused MVPs fast and iterate with evidence - tests, benchmarks, logs, and clear verification steps. At Publicus, if it isn't verifiable, it isn't done.
Engage in regular client meetings, contributing to presentations and reports on project progress.

Required Qualifications:

A graduate degree (MSc or PhD) in Computer Science or a related field with specialization in Computer Vision, Document AI, multimodal learning, or OCR - or equivalent demonstrated experience shipping applied ML systems. We weigh what you have built and can prove works as heavily as credentials.
Research or project experience in Document AI, computer vision, OCR, or Vision Language Models (VLMs).
Proficiency in Python and modern AI frameworks such as PyTorch, Hugging Face Transformers, vLLM, Unsloth, OpenCV, TensorFlow, and related machine learning libraries.
Familiarity with linux, Git version control, and writing clean code.
A positive attitude towards learning and understanding a new applied domain.
Must be legally eligible to work in Canada.

Preferred Qualifications:

Experience with synthetic data generation and multimodal foundation models (VLMs/LLMs).
Experience with building, training, evaluating, and quantizing machine learning models to achieve optimized performance in production environments, with a focus on low-latency, resource-efficient edge-device deployment.
Knowledge of MKL, cuDNN, and acceleration techniques for math computing is a plus.
Experience with deploying machine learning models in production environments or strong software engineering (or MLE) skills is a plus.
Publication record in peer-reviewed academic conferences or relevant journals in ML or Applied AI (especially in computer vision).

Non-Technical Requirements:

Desire to take ownership of a problem and demonstrated leadership skills
Interdisciplinary team player enthusiastic about working together to achieve excellence
Capable of critical and independent thought
Able to communicate technical concepts clearly and advise on the application of machine intelligence
Intellectual curiosity and the desire to learn new things, techniques, and technologies

Why You Should Apply

Besides Gaining Industry Experience, Additional Perks Include

Work under the mentorship of an Amii Scientist for the duration of the project
Participate in professional development activities
Gain access to the Amii community and events
Get paid for your work (a fair and equitable rate of pay will be negotiated at the time of offer)
Build your professional network
The opportunity for an ongoing machine learning role at the client’s organization at the end of the term (at the client’s discretion)

About Amii

One of Canada’s three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the world’s top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.

How to Apply

If this sounds like the opportunity you've been waiting for, please don’t wait for the closing October 21, 2026 to apply - we’re excited to add a new member to the Amii team for this role, and the posting may come down sooner than the closing date if we find the right candidate before the posting closes! When sending your application, please send your resume and cover letter indicating why you think you'd be a fit for Amii. In your cover letter, please include one professional accomplishment you are most proud of and why.

Applicants must be legally eligible to work in Canada at the time of application.

Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals without regard to ethnicity, religion, gender identity, sexual orientation, age or disability. Accommodations for disability-related needs throughout the recruitment and selection process are available upon request. Any information provided by you for accommodations will be kept confidential and won’t be used in the selection process.

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More about this job

Responsibilities

Develop and deploy multimodal procurement document intelligence pipelines, including synthetic and adversarial dataset creation, model evaluation and fine-tuning, and reliable information extraction for secure, low-compute environments. Benchmark document AI and multimodal models, optimize inference, deliver verifiable client-focused MVPs, and communicate progress through meetings, presentations, and reports.

Requirements

Applicants need a graduate degree in computer science or a related field specializing in computer vision, Document AI, multimodal learning, or OCR, or equivalent demonstrated experience shipping applied ML systems. They should have relevant research or project experience, proficiency in Python and modern ML frameworks, familiarity with Linux and Git, strong communication and teamwork skills, and legal eligibility to work in Canada.

Skills

Machine Learning
Large Language Models
Document AI
Computer Vision
Optical Character Recognition
Vision Language Models
Multimodal Learning
Python
PyTorch
Hugging Face Transformers
vLLM
Unsloth
OpenCV
TensorFlow
Synthetic Data Generation
Model Quantization

Benefits

Paid Residency
Professional Development
Mentorship
Networking Opportunities
Potential Ongoing Employment

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Large Language Models
Document AI
Computer Vision
Optical Character Recognition
Vision Language Models
Multimodal Learning
Information Extraction
Synthetic Data Generation
Adversarial Data
Python
PyTorch
Hugging Face Transformers
vLLM
Unsloth
OpenCV
TensorFlow
Linux
Git
Model Fine-Tuning
Model Benchmarking
Model Quantization
Model Compression
Optimized Transformer Serving
Secure Government Environments
Low-Compute Deployment
Procurement Intelligence
Government Procurement
Multimodal Document Processing
Production Machine Learning

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Jobs in Canada