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Added 27 days ago
Data Science Manager
Deloitte
Calgary, AB
Full-time
Proficiency in hands-on data analysis and modeling using Python.
Added 28 days ago
Senior Software Engineer
Deltek
Calgary, AB
$100,000 to $120,000 CAD / year
Full-time
Integrate GenAI tools like Anthropic Claude into your workflow for code generation, technical documentation, and automated testing
Added 28 days ago
Gen AI Developer
HCLTech
Canada
Full-time
Senior‑level role on a five‑person engineering team building a production‑grade healthcare conversational GenAI platform. The stack centers on Python 3.12+, FastAPI, and Google ADK 2.0 as…
Added 28 days ago
GenAI Architect
Lantern
Vancouver, BC
Full-time
Proficiency in Python and experience with cloud-native development.
Added 28 days ago
AI & Automation Data Scientist Intern (January 2027 - 4 Months - Toronto or Montreal) / Stagiaire Data Scientist en IA et Automatisation (janvier 2027 - 4 mois - Toronto ou Montréal)
IBM
Toronto, ON
$68,348.8 to $105,456 CAD / year
Full-time
Experience with one or more scripting languages (Python preferred), or a proven computer science foundation.
Added 28 days ago
Machine Learning Developer Intern (January 2027 - 4 Months - Toronto or Montreal) / Stagiaire développeur en apprentissage automatique (janvier 2027 - 4 mois - Toronto ou Montréal)
IBM
Toronto, ON
$65,166.4 to $100,547.2 CAD / year
Full-time
As an Intern Machine Learning Developer, you’ll have the unique opportunity to learn and use industry-leading ML technologies on a cloud platform (e.g. IBM Cloud, Azure, AWS or Edge) by…
Added 28 days ago
Machine Learning Developer Intern (January 2027 - 4 Months - Toronto or Montreal) / Stagiaire développeur en apprentissage automatique (janvier 2027 - 4 mois - Toronto ou Montréal)
IBM
Montreal, QC
$65,166.4 to $100,547.2 CAD / year
Full-time
As an Intern Machine Learning Developer, you’ll have the unique opportunity to learn and use industry-leading ML technologies on a cloud platform (e.g. IBM Cloud, Azure, AWS or Edge) by…
Added 28 days ago
AI & Automation Data Scientist Intern (January 2027 - 4 Months - Toronto or Montreal) / Stagiaire Data Scientist en IA et Automatisation (janvier 2027 - 4 mois - Toronto ou Montréal)
IBM
Montreal, QC
$68,348.8 to $105,456 CAD / year
Full-time
Experience with one or more scripting languages (Python preferred), or a proven computer science foundation.
Added 28 days ago
Full Stack Developer - Python and React
Astek
Montreal, QC
Full-time
Job Title: Full Stack Developer - Python and React
Added 28 days ago
Platform Engineer
Bay Street Staffing
Toronto, ON · Greater Toronto Area, Canada
Contract
…supporting modern cloud-native applications and emerging AI/GenAI…
Added 28 days ago
Senior AI Engineer, Agentic Healthcare Platform
TechDoQuest
Canada
Contract
Strong production experience with Python, asynchronous programming, backend APIs, and service-oriented architecture.
Added 28 days ago
Dotnet Developer
Kumaran Systems
Toronto, ON · Greater Toronto Area, Canada
Full-time
A hands-on senior developer role focused on building, integrating, and supporting enterprise applications on the Microsoft/Azure stack. You'll build the solution based on designs from…
Added 25 days ago
Consultant - Modernisation des applications | Consultant - Application Modernization, AWS Professional Services
Amazon
Montreal, QC
…techniques de modernisation accélérées par l'IA générative (GenAI). Vous serez un acteur clé de la réussite des clients dans leur adoption du cloud, en apportant votre expertise technique…
Added 25 days ago
Consultant senior - Modernisation des applications | Sr. Consultant - Application Modernization, AWS Professional Services
Amazon
Montreal, QC
…techniques de modernisation accélérées par l'IA générative (GenAI). Vous serez un acteur clé de la réussite des clients dans leur adoption du cloud, en apportant votre expertise technique…
Added 1 month ago
Director, AI & Data Science
Artefact
Montreal, QC
Contributing to AI Strategy: Partnering with senior leadership to shape GenAI architecture direction, tooling decisions, and platform roadmap within your area.
Added 1 month ago
Director, AI & Agentic Engineering
Artefact
Montreal, QC
Contributing to AI Strategy: Partnering with senior leadership to shape GenAI architecture direction, tooling decisions, and platform roadmap within your area.
Added 1 month ago
Dotnet Developer
Kumaran Systems
Toronto, ON
Full-time
Programming Skills: You are a strong hands-on developer proficient in one or more programming languages such as C#, Python, and JavaScript/TypeScript. You have experience with modern…
Added 1 month ago
Data Scientist
BNP Paribas
Montreal, QC
Full-time
Hands-on experience contributing to data science, machine learning, deep learning, or GenAI projects in Python. In particular :
Added 1 month ago
Senior Fullstack Developer
J&M Group
Toronto, ON
Full-time
Full Stack & Cloud Development: Design, build, and maintain enterprise-grade applications using Python, TypeScript/JavaScript, and AWS serverless architecture.
Added 13 days ago
Senior Machine Learning Engineer, GFT
Royal Bank of Canada
Toronto, ON
Full-time
Come and be part of our innovative and high-performing GenAI and Mobile team if you are a talented, tenacious, meticulous, and results-focused individual who thrives on building…
Added 1 month ago
Staff Engineer
RBC
Toronto, ON
Full-time
…technology transformation. As the Backend (Java & Spring) Lead Developer, you will drive the design, development, and maintenance of GenAI-powered Advice Centre applications that harness…
Added 27 days ago
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
Full-time
Both halves sit on the AI Foundation. Today that foundation includes a GenAI agent framework, a tool system, vector stores, streaming and telemetry, and a separate ML service; the near-term…
Added 17 days ago
Senior Machine Learning Engineer, GFT
RBC
Toronto, ON
Full-time
Come and be part of our innovative and high-performing GenAI and Mobile team if you are a talented, tenacious, meticulous, and results-focused individual who thrives on building…
Added 29 days ago
Principal Data and Applied Scientist
SAP
Montreal, QC
Hands-on experience with modern GenAI systems RAG, embeddings, vector databases, semantic retrieval, and enterprise knowledge grounding.
Added 22 days ago
Senior Director, Data & AI, Wealth Management Canada
Royal Bank of Canada
Toronto, ON
Full-time
…high impact program in Canada. You will leverage best in class GenAI, AI, and ML capabilities to deliver new insights and capabilities with global reach. You will also be responsible for…

RBC

Senior Machine Learning Engineer, GFT

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 2, 2026
Experience: 5+ years of experience in machine learning engineering with 2+ years focused on production ML systems
Posting language: English
Posted: Sep 8, 2026

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Original job description

Job Description

What is the opportunity?

Come and be part of our innovative and high-performing GenAI and Mobile team if you are a talented, tenacious, meticulous, and results-focused individual who thrives on building production-grade GenAI applications. We are seeking an experienced Senior Machine Learning Engineer to help shape, develop, and deliver AI applications and proof-of-concepts (POCs) across diverse business lines. The successful candidate will collaborate with stakeholders to identify opportunities, develop impactful solutions, and drive the adoption of advanced AI technologies across the organization.

Are you a talented, creative, and results-driven professional who thrives on delivering high-performing GenAI applications at scale? Come join us!

Global Functions Technologies impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformational IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.

As a Senior Machine Learning Engineer, you will be a key member of a team, developing and deploying large-scale GenAI applications for enterprise use cases. You will build and optimize LLM-based solutions, RAG systems, agentic workflows, and production ML infrastructure that powers effective decision-making across RBC. You will be working in a cross-functional team that supports various businesses and you will have an opportunity to work with different kinds of datasets, modern AI frameworks, and cloud-native platforms. You will collaborate with other developers, ML engineers, and business partners to deliver medium to high-complexity GenAI initiatives with measurable business impact.

What will you do?

Develop, and productionize advanced GenAI and AI solutions, ensuring they address complex business challenges with measurable impact and deliver tangible ROI
Optimize and deploy state-of-the-art ML models and AI agents, leveraging modern frameworks (e.g., LangChain, LangGraph, or similar) and best practices for scalability, reliability, and maintainability
Contribute to experimentation and continuous improvement cycles, including robust prompt engineering, model evaluation, A/B testing, and performance optimization of production GenAI systems
Build and maintain production-grade ML infrastructure including data pipelines, model serving endpoints, monitoring systems, and automated deployment workflows
Implement RAG (Retrieval-Augmented Generation) systems using vector databases, semantic search, and knowledge retrieval techniques to enhance LLM capabilities
Develop agentic AI workflows with multi-step reasoning, tool use, and orchestration to solve complex business problems autonomously
Collaborate with product managers, data engineers, and business stakeholders to translate requirements into technical specifications and working solutions
Write clean, maintainable, well-documented code following software engineering best practices including code reviews, testing, and version control
Stay current with emerging GenAI technologies and research, evaluating new models, frameworks, and techniques for potential adoption
Participate in technical design discussions and contribute to architectural decisions for GenAI applications and ML infrastructure
Ensure responsible AI practices including bias detection, model explainability, security, privacy, and compliance with enterprise governance standards
Document technical solutions, architectures, and processes to enable knowledge sharing and team scalability

What do you need to succeed?

Required Qualifications

5+ years of experience in machine learning engineering with 2+ years focused on production ML systems
Hands-on experience building GenAI applications using LLMs, RAG, agents, or similar technologies in production environments
Strong proficiency in Python and modern ML frameworks (LangChain, LangGraph, Hugging Face, OpenAI API, Anthropic Claude, etc.)
Solid understanding of LLM architectures, prompt engineering, fine-tuning, and optimization techniques
Experience with cloud platforms (AWS/Azure/GCP) and containerization (Docker, Kubernetes)
Practical knowledge of MLOps practices including CI/CD, model monitoring, versioning, and deployment automation
Experience with vector databases (Pinecone, Weaviate, pgvector, Chroma) and semantic search systems
Strong problem-solving skills with ability to break down complex problems into implementable solutions
Excellent collaboration and communication skills with ability to work effectively in cross-functional teams
Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (or equivalent practical experience)

Preferred Qualifications

Experience in financial services or highly regulated industries with understanding of compliance and data privacy requirements
Knowledge of agentic AI architectures and multi-agent orchestration frameworks
Experience with real-time streaming data and event-driven architectures
Familiarity with distributed systems and high-scale data processing
Experience with A/B testing frameworks and experimentation platforms
Contributions to open-source ML/AI projects or technical blog posts
Experience with graph databases and knowledge graph construction
Understanding of transformer architectures and attention mechanisms

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.

Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact on enterprise AI adoption across RBC
Work in a dynamic, collaborative, progressive, and high-performing team
Opportunities to do challenging work and build cutting-edge GenAI solutions at scale
Access to emerging technologies and continuous learning in the rapidly evolving AI landscape
Exposure to diverse business problems across Risk, Finance, Compliance, and other critical functions
Competitive compensation and benefits package

#TECHPJ

Job Skills

Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-28

Application Deadline:

2026-10-02

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.

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

Develop and productionize advanced GenAI and AI solutions to address complex business challenges with measurable impact. Build and maintain production-grade ML infrastructure, including data pipelines, model serving, and agentic workflows.

Requirements

Requires 5+ years of machine learning engineering experience with at least 2 years focused on production systems. Candidates must have strong proficiency in Python, modern ML frameworks, and experience with cloud platforms and containerization.

Skills

Python
Machine Learning
GenAI
LLMs
RAG
LangChain
LangGraph
MLOps
Cloud platforms
Docker
Kubernetes
Vector databases
Prompt engineering
Model evaluation
Data pipelines
Agentic workflows

Benefits

Competitive compensation
Professional development coaching

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
GenAI
LLM
RAG
Python
LangChain
LangGraph
Hugging Face
AWS
Azure
GCP
Docker
Kubernetes
MLOps
CI/CD
Vector databases
Pinecone
Weaviate
Semantic search
Agentic AI
Prompt engineering
Data pipelines
Model monitoring
Financial services
Transformer architectures
Knowledge graphs
Distributed systems
A/B testing
Software engineering
Enterprise AI

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