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Added 4 days ago
AM
Machine Learning Resident - Client: ModeDi (12 month term)
Alberta Machine Intelligence Institute
Edmonton, AB
- Full-time
This is a paid Residency that will be undertaken over a twelve-month period with the potential to be hired by our client, ModeDi, afterwards (note: at the discretion of the client). The…
Added 4 days ago
A
IP-Post Silicon Validation Engineer
AMD
Markham, ON
- $155,200 to $232,800 CAD / year
- Full-time
…knowledge and skills of the team around you. You are a self-starter with strong analytical and problem-solving skills and are willing to learn and ready to independently drive tasks to…
Added 4 days ago
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Software Engineer
Cisco
Ottawa, ON
- $116,700 to $165,800 CAD / year
- Full-time
…thrive on collaboration and constant innovation, working closely with cross-functional teams to solve complex infrastructure challenges in real-time. We cultivate a culture of continuous…
Added 4 days ago
A
Senior Software Engineer, Analytics and Reporting Solutions ⭐
Achievers
Toronto, ON
- Full-time
…work gets done. Our tech stack leverages microservices built with Python and Go, running on GCP and Kubernetes. We're creating smoother, smarter, and more delightful experiences for our…
Added 4 days ago
ES
Software Engineer (Java, Python & Linux)
Enterprise Solutions Inc.
Toronto, ON
- Contract
We are looking for an experienced Software Engineer with strong hands-on expertise in Java, Python, Linux, and CI/CD to join a dynamic DevSecOps team supporting a large-scale, highly…
Added 4 days ago
H
Artificial Intelligence Engineer
Hays
Toronto, ON
- Contract
We are looking for an AI Engineer with strong Python development experience and hands-on expertise in building and deploying Generative AI solutions.
Added 4 days ago
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Python Software Engineer (Client Facing Consultant)
Luxoft
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
…experienced, self-directed software engineer who can operate with a high degree of autonomy, take ownership of outcomes, solve ambiguous problems, and deliver working solutions with minimal…
Added 4 days ago
RE
Platform Integration and Monitoring Consultant
Randstad Enterprise
Montreal, QC
- Full-time
Develop automation solutions and operational tooling using Python, Shell scripting, and AI-assisted development technologies to improve efficiency, reduce manual effort, and increase…
Added 4 days ago
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AWS AI Solution Architect
DEDICATTED
Canada
- Full-time
Experience with Python and modern AI application development frameworks.
Added 4 days ago
AC
System Support Specialist (AI and Automation)
ALT Consulting
Ottawa, ON
- Full-time
We're looking for a System Support Specialist who is passionate about technology, comfortable working with clients, and already using AI tools as part of their everyday work.
Added 4 days ago
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Forward Deployed Full-Stack Engineer: Next.js + AWS AgentCore
DEDICATTED
Canada
- Full-time
We are looking for a Senior Full-Stack Engineer to join our team. You will work directly with our clients to design and build complex, production-grade Proofs of Concept for agentic AI…
Added 4 days ago
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Machine Learning Resident - Client: ModeDi (12 month term)
Amii (Alberta Machine Intelligence Institute)
AB · Edmonton, AB
- Full-time
This is a paid Residency that will be undertaken over a twelve-month period with the potential to be hired by our client, ModeDi, afterwards (note: at the discretion of the client). The…
Added 4 days ago
VT
Hardware Test Engineer
VANJOBS Technical Recruiters
Vancouver, BC
- Full-time
…doorbells, smart lighting, and security bundles. Their partnership with AWS has resulted in over 4 million subscribers for advanced data storage and access. With over 550 employees, their…
Added 4 days ago
A
Senior Java Software Engineer
Artech
Mississauga, ON
- Contract
We are seeking a Senior Software Developer with deep Java technology expertise to work directly with our Fintech clients in the Spread Products space. This is a hybrid…
Added 4 days ago
ES
Software Engineer (Java, Python & Linux)
Enterprise Solutions Inc.
Mississauga, ON
- Contract
It will be good if candidate has experience in both Java and Python, Linux and CICD.
Added 4 days ago
VS
Data Science Developer
vTech Solution Canada
Toronto, ON
- Contract
Strong programming skills, particularly Python and SQL, with experience developing production-quality applications.
Added 4 days ago
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Data Engineering Director - Vancouver
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Familiarity with modern data engineering tools, languages, and paradigms (e.g., Spark, Python, dbt, Terraform, generative AI).
Added 4 days ago
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Responsable IA
DELAN - IT Talent Solutions
Quebec, QC
- Full-time
Connaissances en Python et en interfaces de programmation (API) (atout)
Added 4 days ago
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Software Design/Engineer - New Grad
Ciena
Ottawa, ON
- Full-time
…supports growth and well-being - on and off the job. Connect with a career that…
Added 4 days ago
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Technical Lead Manager, ML Dataset Platform
Waabi
Toronto, ON
- $200,000 to $280,000 USD / year
- Full-time
Strong software engineering and implementation: You have very strong Python skills and are comfortable in PyTorch training loops; you have strong software-engineering fundamentals and…
Added 4 days ago
MT
Staff Validation Engineer - Optical Interconnect
Marvell Technology
Ottawa, ON · CA-ON - Ottawa
- Full-time
…portions of the validation plan and board or fixture designs, with guidance on architecture…
Added 4 days ago
LC
Manager, Software Engineering & AI
Loblaw Companies Limited
Brampton, ON · Toronto, ON
- Full-time
Guide the architecture and delivery of internal AI-powered applications, agents, and workflows using Python, LangGraph, Langfuse, and MCP; oversee frontend development with React and…
Added 4 days ago
AI Integration Engineer – Market Data & Entitlements
Capco
Toronto, ON
Practical backend engineering experience using Python, Java or comparable technologies, with the ability to develop and integrate services supporting financial-data workflows.
Added 4 days ago
AI Engineer – Market Surveillance
Capco
Toronto, ON
Hands-on AI or software engineering experience, with practical skills in Python, SQL and machine learning or LLM-based technologies.
Added 4 days ago
AI Engineer – Corporate Actions & Asset Servicing
Capco
Toronto, ON
Technical experience with Python, APIs, LLMs and document AI technologies, including the ability to apply these capabilities to financial services processing challenges.

Alberta Machine Intelligence Institute

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

Edmonton, AB, T5J 3B1, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Nov 5, 2026

Original job description

“If you are excited about applying to LLMs to tackle real-world challenges in real estate appraisal and land-use analysis, 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.”

Soumik Farhan, 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, ModeDi, 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

ModeDi Inc. is a Manitoba-based Canadian technology company devoted to modernizing appraisal professional’s collection, management, and analysis of real estate data. The company’s mission is to allow appraisers and real estate professionals to do better work, faster, so that their focus can remain on valuation, client advice, and professional judgment rather than repetitive administrative tasks. Its vision is to deliver personalized, secure, and accessible real estate data solutions that provide users with a modernized workflow effectively regardless of firm size.

About the Project

The development is a real estate-focused artificial intelligence LLM that will combine the firm's internal company data and publicly available data to support more informed property analysis for appraisers. The tool provides the background information of each conclusion to the user with an evaluated confidence level for background benefits. The planned capability is intended to help appraisal professionals identify relevant property information, analyze comparable and historical data, and develop stronger valuation insights while keeping the data used secure and the final conclusions with the appraiser.

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, and agentic AI systems, along with proven experience in applied settings.

Key Responsibilities:

Design, build, and evaluate a secure LLM-based system that streamlines appraisal workflows and supports highest and best use (HBU) analysis for real estate appraisers.
Develop ingestion and retrieval pipelines that parse mixed text and tabular content from municipal planning documents and zoning bylaws.
Build citation-grounded generation and confidence estimation components so that every output can be traced to its source documents and used to defend completed appraisal reports.
Build evaluation infrastructure, including expert-annotated benchmarks, citation accuracy and faithfulness scoring, confidence calibration analysis, adversarial and prompt-injection test suites, and CI-gated regression testing.
Implement secure system infrastructure with role-based access control that restricts access exclusively to vetted appraisers, along with auditable logging of system usage.
Conduct applied research in retrieval-augmented generation, document and table understanding, and uncertainty quantification to improve the accuracy and reliability of system outputs.
Collaborate with the project team and stakeholders to develop MVP and client focused solutions.
Engage in regular client meetings, contributing to presentations and reports on project progress.

Required Qualifications:

Completion of a Computer Science (or a related graduate degree program) MSc. or PhD with specialization in Natural Language Processing, Machine Learning, Large Language Models, or Applied AI.
Research or project experience with retrieval-augmented generation, document parsing, or LLM-based question answering over long or semi-structured documents.
Proficiency in Python and modern AI frameworks such as PyTorch, Hugging Face, Transformers, vLLM, Unsloth, LangGraph, Pydantic, and commercial LLM APIs (e.g., Anthropic, OpenAI), 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 designing evaluation frameworks for LLM or retrieval-augmented systems, including benchmark construction, LLM-as-judge methods, faithfulness and citation evaluation, and offline and online evaluation.
Experience with the Model Context Protocol (MCP), agent orchestration frameworks, or durable multi-step workflow systems.
Familiarity with prompt injection, guardrails, and the safe handling of untrusted input in production LLM systems.
Experience with uncertainty quantification or confidence calibration for LLM outputs.
Exposure to real estate, appraisal, urban planning, or another regulated domain where auditability, source traceability, and access control are first-class requirements.
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 natural language processing or LLM systems).

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 November 19, 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

Design, build, and evaluate a secure LLM-based system to streamline real estate appraisal workflows and support property analysis. Develop ingestion pipelines, citation-grounded generation components, and robust evaluation infrastructure while collaborating with cross-functional teams.

Requirements

Requires a Master's or PhD in Computer Science or a related field with a specialization in NLP, Machine Learning, or Applied AI. Candidates must have research or project experience with RAG, document parsing, and proficiency in Python and modern AI frameworks.

Skills

Machine learning
Large language models
Python
PyTorch
Hugging Face
Transformers
Retrieval-augmented generation
Agentic AI systems
Natural language processing
Git
Linux
LangGraph
Pydantic
vLLM
Unsloth
Software engineering

Benefits

Mentorship from Amii scientists
Professional development activities
Access to the Amii community and events
Paid residency
Networking opportunities

Visa sponsorship

Not detected in the job text

Hiring contact

Soumik Farhan

Keywords

Machine Learning
Large Language Models
LLM
Real Estate
Appraisal
Retrieval-Augmented Generation
Python
PyTorch
Hugging Face
Transformers
LangGraph
Pydantic
vLLM
Unsloth
Natural Language Processing
Agentic AI
Software Engineering
Linux
Git
Data Ingestion
Uncertainty Quantification
Model Context Protocol
CI/CD
Role-Based Access Control
Applied AI
Research
MVP Development
Zoning Bylaws
Auditability
Confidence Calibration

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