Find work in Canada.

575,904 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 1 month ago
Senior Actuarial Analyst, Reserving
Aviva
Markham, ON
Analyze the adequacy of claim reserve levels using both standard actuarial methods and advanced reserving models including machine learning techniques using Python.
Added 1 month ago
RB
Generative AI Data Scientist & ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Proficient in Python and libraries such as NumPy, Pandas, Matplotlib, OpenCV, Scikit-Learn, TensorFlow, Keras, PyTorch, and PySpark.
Added 1 month ago
RB
Senior Full Stack Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
As a senior software developer, you will work as a part of an agile team to develop automation. We are looking for diverse backgrounds and experience, with a deep understanding of software…
Added 1 month ago
E
Senior Software Engineer, AI Platform
eBay
Toronto, ON
- Full-time
This role sits within eBay’s engineering organization and is focused on building a next-generation AI-powered platform that transforms how software is designed, developed, and delivered at…
Added 1 month ago
Software Development Engineer Intern, ROBOTICS - 2027
Amazon
Toronto, ON
- Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control…
Added 1 month ago
RB
Principal Data Science and AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Engineer, design, and enable the development of platform services that enable autonomous AI agents to interact with infrastructure systems like OpenShift, SQL Server, Apigee, Kafka,…
Added 1 month ago
DS
Ingénieur Analytique / Analytics Engineer
Data Sciences
Montreal, QC
- Full-time
3+ années expérience en rédaction de code SQL en tant qu’ingénieur analytique (analytics engineer), analyste de données (data analyst), ingénieur de données (data engineer) ou autres rôles…
Added 1 month ago
TG
Développeur C++
TMX Group
Toronto, ON
- Full-time
Expérience pratique de Java, SQL RDBMS, Linux, Perl, Python et JavaScript
Added 1 month ago
D
Analyst, Credit Risk Models
Deloitte
Toronto, ON
- Full-time
Significant experience and demonstrated ability using Python and SQL. Proficiency in other programming languages such as SAS and R is highly desirable.
Added 1 month ago
EN
Senior Full Stack Developer – Generative AI & Autonomous Agents - Toronto, Canada - Hybrid (10038)
Extreme Networks
Toronto, ON
- Full-time
We are seeking an experienced Senior Full Stack Developer with deep expertise in backend systems (Java, Python, microservices) and modern UI frameworks (Angular, React) to join our…
Added 1 month ago
BC
Managed Services Administrator
BearCom Canada
London, ON
- Full-time
Experience deploying and operating database servers including MySQL, PostGres and Microsoft SQL
Added 1 month ago
Applied Data Scientist - Contract
Arcurve Inc.
Calgary, AB
Expert-level Python and experience with the modern machine learning stack, including scikit-learn, PyTorch, and statsmodels or equivalent libraries.
Added 1 month ago
Intermediate Data Engineer
Arcurve Inc.
Calgary, AB
Arcurve is one of North America’s leading full-service technology, advisory and software development companies. In 2006, we began with a belief that there was a better way to deliver…
Added 1 month ago
R
Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
Engineer, design, and enable the development of platform services that enable autonomous AI agents to interact with infrastructure systems like OpenShift, SQL Server, Apigee, Kafka,…
Added 1 month ago
R
Senior Full Stack Engineer
RBC
Toronto, ON
- Full-time
As a senior software developer, you will work as a part of an agile team to develop automation. We are looking for diverse backgrounds and experience, with a deep understanding of software…
Added 1 month ago
Senior Specialist, Analytics
CMHC - SCHL
Toronto, ON · Ottawa, ON · Montreal, QC · Vancouver, BC · Halifax, NS · Calgary, AB
Experience working with large datasets and tools such as SQL, Python, Power BI, SAS, or similar technologies.
Added 1 month ago
I
Senior Cloud Security Operations Analyst
Intelcom
Montreal, QC · Service Centre (Montreal) Lab
- Full-time
Proficiency in data analysis query using scripting languages such as Python, PowerShell, Bash, Yara-L, SQL, KQL, SPL or others
Added 1 month ago
B
Managed Services Administrator, Sarnia, ON
BearCom
London, ON · Sarnia, ON
- Other
Experience deploying and operating database servers including MySQL, PostGres and Microsoft SQL
Added 1 month ago
Intern - Credit Risk, Winter 2027
EQ Bank | Canada's Challenger Bank
Toronto, ON
3M to 1 yr of exposure to Microsoft SharePoint and Microsoft PowerShell, Microsoft Power Automate, Python, and/or SQL.
Added 1 month ago
C
Senior Azure Data Engineer
CIBC
Toronto, ON
- Full-time
You can demonstrate 4-6 years of hands-on development expertise with Scala, Python, PySpark and SQL with technical experience in Maven, GitHub, JFrog and Bash. You have 3 or more years of…
Added 1 month ago
Manager Credit Risk Provisions and Analytics
Scotiabank
Toronto, ON
Proficiency in SAS, SQL, Python, and VBA, with experience extracting, transforming, validating, and analyzing large datasets to support reporting, forecasting, and automation initiatives.
Added 1 month ago
R
Generative AI Data Scientist & ML Engineer
RBC
Toronto, ON
- Full-time
Proficient in Python and libraries such as NumPy, Pandas, Matplotlib, OpenCV, Scikit-Learn, TensorFlow, Keras, PyTorch, and PySpark.
Added 1 month ago
H
Architecte de données
Highspring
Montreal, QC
- Full-time
Highspring is a next-generation consulting and professional services firm. We deliver modern, agile, and forward-thinking solutions to organizations across North America. We partner with…
Added 1 month ago
C(
Senior Software Engineer, Agentic Systems
CareLink (by Asepha)
Toronto, ON
- Full-time
Proficiency in Python or TypeScript and deep knowledge of backend fundamentals: APIs, data stores, concurrency, distributed systems
Added 1 month ago
P
Intern, Software Developer
Pomerleau
Laval, QC
- Internship
Knowledge of React, C#, Python, GitHub, SQL and SSMS, Excel, Power Automate, and Power Apps.

RBC

Generative AI Data Scientist & ML Engineer

Toronto, ON, Canada

Full-time

This date has passed. Check with the employer before applying.

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Listed closing date: Oct 31, 2026
Experience: 8+ years of research experience in Engineering, Computer Science or related fields with a focus on machine learning applications.
Posting language: English
Posted: Sep 9, 2026

Original job description

Job Description

What is the opportunity?

Are you passionate about pushing the boundaries of artificial intelligence? Do you thrive in environments where innovation and cutting-edge research are at the forefront? We are offering an exciting opportunity to join our team as a Data Scientist / Researcher specializing in Generative AI Models. In this role, you will develop and optimize and use Large Language Models (LLM's), to solve complex problems and drive innovation in our AI solutions.

What will you do?

As a researcher in this role, you will focus on the technical implementation and optimization of large language models (LLMs) to bring autonomous AI agents to life within a corporate setting. Your responsibilities will include:

Fine-Tune LLMs: Customize and optimize pre-trained LLMs for specific corporate applications, ensuring high performance and accuracy in various NLP tasks such as text classification, summarization, and entity recognition.
Vector Search Methodology: Develop and implement advanced vector search techniques, including the creation of efficient indexing and retrieval systems, to enhance the organization's ability to quickly and accurately access relevant information.
Autonomous AI Agents: Design and build autonomous AI agents capable of performing complex tasks autonomously, such as customer service automation, data analysis, and decision-making support.
Data Preprocessing and Feature Engineering: Prepare and preprocess large datasets, perform feature extraction and engineering, and ensure data quality for training and validating models.
Model Evaluation and Tuning: Conduct thorough evaluations of model performance using appropriate metrics and benchmarks. Perform hyperparameter tuning to optimize model configurations.
Algorithm Development: Research and implement novel algorithms and techniques to improve model efficiency, scalability, and robustness.
Deployment and Integration: Work on deploying LLMs and AI agents into production environments, ensuring seamless integration with existing systems and workflows.
Continuous Improvement: Monitor model performance in production, diagnose issues, and implement improvements and updates as needed to maintain and enhance model effectiveness.
Collaborative Research: Collaborate with other data scientists, machine learning engineers, and domain experts to identify new opportunities for applying LLMs and AI agents, and contribute to joint research projects.
Documentation and Knowledge Sharing: Document your methodologies, experiments, and findings comprehensively, and share knowledge with the team through presentations, reports, and technical discussions.

What do you need to succeed?

Must-Have:

Educational Background
- PhD or Master's degree in Engineering, Computer Science, Data Science, or a related field.
Research Experience
- 8+ years of research experience in Engineering, Computer Science or related fields with a focus on machine learning applications.
- Proven ability to handle and analyze large datasets (over terabytes of data) and deliver efficient models promptly.
Technical Skills
- Proficient in Python and libraries such as NumPy, Pandas, Matplotlib, OpenCV, Scikit-Learn, TensorFlow, Keras, PyTorch, and PySpark.
- Skilled in C++, MATLAB, SQL (MySQL), and R.
- Strong understanding of machine learning techniques, including supervised and unsupervised learning, classification, decision trees, deep neural networks, CNNs, RNNs, AutoEncoders, GANs, and Transformers.
- Experience with regression modeling, time series analysis, data mining, data cleaning, and ETL processes.
Tools and Platforms
- Familiarity with GitLab, GitHub, Bitbucket, JIRA, VSCode, Jupyter Notebook, Spyder, and Eclipse.
- Experience with cloud platforms and tools such as Databricks, Azure Databricks, and AWS S3.
Analytical and Problem-Solving Skills
- Exceptional analytical abilities with a talent for identifying model weaknesses and optimizing performance.
- Strong initiative in approaching complex problems with innovative solutions.
Interpersonal Skills
- Excellent communication skills with the ability to lead and collaborate within cross-functional teams.
- Proven organizational skills with the ability to manage multiple large-scale projects simultaneously.

Nice to Have:

Experience in developing machine learning algorithms for video recognition and computer vision applications.
Background in high-energy physics research and familiarity with international laboratory environments like CERN or similar.
Published research in reputable journals and contributions to significant projects in the AI and physics communities.
Recognition through awards or scholarships in related fields.

What's in it for you?

Work on groundbreaking AI projects that have a significant impact on the industry.
Be part of a forward-thinking team that values creativity and innovation.
Opportunities for continuous learning through training, workshops, and conferences.
Mentorship programs and career development plans to help you reach your goals.
Attractive salary and benefits package that rewards your expertise and contributions.
Performance bonuses and recognition programs.

#TECH-PJ

Job Skills

Artificial Intelligence (AI), Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Analysis

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

PERSONAL & COMMERCIAL BANKING

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-09-09

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.

Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

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.

Apply About employer

More about this job

Responsibilities

You will focus on the technical implementation, fine-tuning, and optimization of large language models to develop autonomous AI agents for corporate applications. Additionally, you will conduct research, manage data preprocessing, and ensure seamless deployment and integration of AI solutions into production environments.

Requirements

Candidates must hold a PhD or Master's degree in a relevant field and possess over 8 years of research experience in machine learning. Proficiency in Python, C++, SQL, and various deep learning frameworks is required, along with a strong background in handling large-scale datasets.

Skills

Generative AI
Large Language Models
Python
Machine Learning
Deep Learning
Natural Language Processing
Vector Search
PyTorch
TensorFlow
SQL
Data Engineering
Cloud Platforms
Algorithm Development
Autonomous Agents
Feature Engineering
Model Evaluation

Benefits

Attractive salary
Performance bonuses
Recognition programs
Mentorship programs
Career development plans

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Large Language Models
Python
Machine Learning
Deep Learning
Natural Language Processing
Vector Search
PyTorch
TensorFlow
SQL
Data Engineering
Cloud Platforms
Azure Databricks
Autonomous Agents
Feature Engineering
Model Evaluation
NumPy
Pandas
Scikit-Learn
PySpark
C++
MATLAB
GitLab
GitHub
JIRA
VSCode
Jupyter Notebook
Data Mining
ETL
Transformers

Report this job