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Added 26 mins ago
A
Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Toronto, ON
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking an MLOps Developer to join our AI/ML Platform team. This role will contribute to…
Added 26 mins ago
Y
GenAI Prompt Engineer
Yochana
Toronto, ON
- Contract
Collaboration: Work closely with crossfunctional teams including data scientists, engineers, and product managers to implement and test improvements.
Added 26 mins ago
RL
Optical Engineer II
Rocket Lab
Toronto, ON
- Full-time
Experience with data analysis, visualization and interpretation using Python or Matlab
Added 26 mins ago
Test Development Team Lead
Nureva
Calgary, AB
This role combines technical leadership, software development, quality engineering, and AI
Added 26 mins ago
S
Technical Implementation Manager
SuiteSpot
Remote, Canada
- Full-time
- Remote
We move fast, ship real solutions, and measure ourselves by customer outcomes. Our engineering team operates with high autonomy and direct customer impact. We live by P.I.E. - Passion,…
Added 26 mins ago
OT
Network Engineer III
Opti9 Technologies
Remote, Canada
- $115,000 to $145,000 CAD / year
- Full-time
- Remote
…boundaries on SDN, micro segmentation, logical circuit technologies, data center designs and concepts, etc. You will be working across multiple vendors for networking and security products…
Added 55 mins ago
S
SQL Developer
SMARTFOX
Canada
- Full-time
SQL Developer I - 0-2 years : Queries, reports, and well-scoped database changes, learning our data model with a dedicated mentor and code review
Added 55 mins ago
A
Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Montreal, QC
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking an MLOps Developer to join our AI/ML Platform team. This role will contribute to…
Added 55 mins ago
A
Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Toronto, ON
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking an MLOps Developer to join our AI/ML Platform team. This role will contribute to…
Added 55 mins ago
AT
Senior Python Developer
Altis Technology
Toronto, ON · Greater Toronto Area, Canada
- $135,000 to $155,000 CAD / year
- Full-time
We are assisting our reputable client in the geoscience industry with the search for a Senior Back End Developer (C++/Python).
Added 56 mins ago
C
Senior Software Engineer
CARFAX
London, ON
- $93,000 to $139,000 CAD / year
- Full-time
Experience with Back-End languages (such as Java, Kotlin, C#, Go and Python).
Added 56 mins ago
BB
Jr. Developer
Bond Brand Loyalty
Toronto, ON
- $65,050 to $86,450 CAD / year
We are seeking a Jr. Developer to join our team. This role will focus on the development of tools, applications, and extensions with a strong emphasis on AI-related components. The…
Added 1 hour ago
A
Staff Software Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- Full-time
We are seeking a Staff Engineer with at least 9 years of experience in distributed systems or data platform development. In this role, you will be a technical leader responsible for…
Added 1 hour ago
S
Artificial Intelligence Consultant
SMARTFOX
Canada
- Full-time
Solid foundations in data and AI: Python, SQL, and an understanding of machine learning and modern LLM techniques
Added 1 hour ago
W
Senior Oracle Apps AI Developer
W3Global
Toronto, ON
- $62 to $78 CAD / hour
- Contract
We are seeking a highly skilled Oracle Apps AI Developer with expertise in Oracle E-Business Suite (EBS), Oracle Cloud Applications, Artificial Intelligence (AI), Machine Learning (ML), and…
Added 1 hour ago
RL
Lead, Manufacturing Engineer
Rocket Lab
Toronto, ON
- Full-time
Based out of Rocket Lab's site Sinclair Interplanetary in Toronto, Ontario, Canada, this role reports to the engineering manager and is responsible for leading the manufacturing team to…
Added 1 hour ago
JG
Terraform Developer
J&M Group
Halifax, NS
- Contract
The ideal candidate has hands-on experience with Terraform, Azure, Kubernetes, CI/CD pipelines, Python, and modern data engineering platforms.
Added 1 hour ago
V
Python Developer with core Banking and payment
VySystems
Toronto, ON
- Full-time
Partner with engineering, product, operations, and compliance teams to translate business needs into clear, actionable technical requirements and specifications.
Added 1 hour ago
FI
Artificial Intelligence Engineer
Flexstaf I.T. Inc.
Canada
- Contract
Develop solutions using Claude APIs, tool use, structured outputs, prompt engineering, RAG, and agentic workflows.
Added 1 hour ago
Full Stack Python and React Senior Developer
Capgemini
Montreal, QC
Python Overall 7 years of development experience with 5 years of Hands-on experience in Python Proven ability to write optimized efficient and clean code React 5 years of UX implementation…
Added 1 hour ago
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Applied AI Engineer - Winnipeg
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We bring at least 2 years of experience in backend engineering, AI automation, or integrating complex systems.
Added 1 hour ago
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Analytics Engineer I (Remote, Canada)
GoCanvas
Remote, Canada
- Full-time
- Remote
Working knowledge of Python or another scripting language for data transformation
Added 1 hour ago
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Integrations Engineer I (Remote, Canada)
GoCanvas
Remote, Canada
- Full-time
- Remote
…and simplify workplace health and safety across construction, engineering, infrastructure, logistics, and beyond. We’re the highest-rated EHS platform on Gartner-owned Capterra, empowering…
Added 1 hour ago
[VO2 Canada] - Développeuse.eur Fullstack IA– Missions Ponctuelles
VO2 Group
Montreal, QC
✔️ Jusqu’à la réalisation à l’échelle, grâce à une expertise reconnue en business & tech, data et IA 🤖✨
Added 1 hour ago
O
Conseiller(ère) en ingénierie de données intermédiaire (R22 -VIM/VNA) - Qualité des données
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Concevoir, développer et maintenir des pipelines et des flux performants dans Microsoft Fabric (p. ex. Lakehouse, Data Warehouse, pipelines, notebooks) afin de soutenir l’analytique et le…

RBC

Staff Data Scientist, AI Evaluations Platform- EN

Montreal, QC, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 31, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

Job Description

What is the opportunity?

RBC’s AI Group is building trusted AI capabilities for the enterprise, and evaluation is one of the core controls that makes that possible. As Staff Data Scientist, AI Evaluations, you will be a senior technical leader in the data science function responsible for how RBC measures model and agent quality, safety, risk, and performance. You will design, build, and continuously improve evaluation datasets, sourcing methods, LLM judge design, deterministic scorers, human evaluation protocols, quality benchmarks, and measurement frameworks that help AI systems move from experimentation to production with evidence and control, while providing technical guidance and mentorship to other data scientists on the team.

What will you do?

Design and drive advanced model and agent evaluation methodologies, including evaluation datasets, rubrics, LLM-as-judge methods, deterministic scorers, human evaluation, and measurement frameworks, providing technical guidance to junior team members.
Define evaluation science standards that translate model risk, responsible AI, product quality, safety, and business expectations into measurable criteria, repeatable methods, and clear evidence.
Own the end-to-end lifecycle for evaluation datasets and scorecards, including sourcing, curation, validation, quality checks, versioning, lineage, reuse, and ongoing improvement.
Design scalable evaluation approaches for generative AI and agentic systems, including task-level, workflow-level, trajectory-level, and runtime evaluation methods.
Partner with AI research, platform engineering, product, risk, governance, and business teams to embed evaluations into build, release, certification, monitoring, and recertification workflows.
Establish human evaluation and review protocols that produce reliable labels, reviewer guidance, adjudication processes, quality controls, and audit-ready evidence.
Measure and improve scorer accuracy, calibration, robustness, failure-mode coverage, and explainability across automated and human evaluation approaches.
Provide clear technical leadership, executive-ready communication, and mentorship to junior data scientists to help RBC scale trusted AI with speed, rigor, and control.
In this role, you will communicate and interact frequently with RBC partners and/or employees located across Canada and/or worldwide

What do you need to succeed?

Must Have

8+ years of experience in data science, applied machine learning, AI evaluation, ML quality, or a related technical field, including experience providing technical leadership and mentorship within a team.
Strong experience designing evaluation frameworks for ML, generative AI, or agentic AI systems, including metrics, datasets, benchmarks, rubrics, and quality measurement.
Practical experience with LLM evaluation methods such as LLM-as-judge, deterministic scoring, human evaluation, hallucination assessment, factuality assessment, safety evaluation, or model quality benchmarking.
Strong technical foundation in data science, statistics, machine learning, experimentation, data curation, Python, SQL, and modern AI/ML development practices.
Proven ability to translate governance, model risk, responsible AI, and business requirements into measurable controls, repeatable evaluation processes, and decision-ready evidence.
Strong communication and stakeholder management skills, with the ability to influence senior leaders across research, engineering, product, governance, risk, and business teams.

Nice to Have

Experience evaluating agentic AI systems, tool-calling workflows, multi-step reasoning, runtime traces, trajectory scoring, or workflow-level performance.
Experience in financial services, regulated AI, model risk management, responsible AI, enterprise governance, or audit-ready evidence processes.
Familiarity with tools and platforms such as MLflow, Langfuse, LangSmith, OpenTelemetry, Grafana, CI/CD pipelines, or comparable evaluation and observability tooling.
Publications, patents, open-source contributions, or industry work related to AI evaluation, ML quality, AI safety, applied research, or responsible AI.
Ph.D. or Master’s degree in a quantitative or technical field, such as Applied Mathematics, Engineering, Computer Science or a related computational discipline.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
A world-class training program in financial services
Opportunities to do challenging work.

#TECHPJ

Job Skills

Big Data Analytics, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Results-Oriented, Software Engineering, Software Product Design

Additional Job Details

Address:

6666 RUE ST URBAIN, FLOOR 3:MONTRÉAL

City:

Montréal

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-10-09

Application Deadline:

2026-10-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com</a/span>

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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More about this job

Responsibilities

Lead the design and continuous improvement of evaluation methods, datasets, benchmarks, scoring systems, and human review protocols for AI models and agentic systems. Partner across research, engineering, product, risk, governance, and business teams to embed reliable, auditable evaluations into AI development, release, monitoring, and recertification, while mentoring data scientists.

Requirements

Requires 8+ years of relevant experience, including technical leadership and mentorship, and strong expertise in evaluation frameworks for machine learning, generative AI, or agentic AI. Candidates should have a strong foundation in data science, statistics, machine learning, experimentation, data curation, Python, and SQL, plus the ability to translate governance, risk, responsible AI, and business needs into measurable controls and evidence.

Skills

Data Science
AI Evaluation
Machine Learning
Generative AI
Agentic AI
Evaluation Frameworks
LLM-as-Judge
Deterministic Scoring
Human Evaluation
Statistics
Python
SQL
Data Curation
Model Risk Management
Responsible AI
Technical Leadership

Benefits

Bonuses
Flexible Benefits
Competitive Compensation
Commissions
Stock
Coaching and Development Opportunities
Training Program

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Artificial Intelligence
AI Evaluation
Machine Learning
Generative AI
Agentic AI
LLM-as-Judge
Deterministic Scoring
Human Evaluation
Evaluation Datasets
Evaluation Frameworks
Quality Benchmarks
Model Risk Management
Responsible AI
Data Curation
Statistics
Experimentation
Python
SQL
MLflow
Langfuse
LangSmith
OpenTelemetry
Grafana
CI/CD
Model Safety
Hallucination Assessment
Factuality Assessment
Audit-Ready Evidence
Financial Services

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