Find work in Canada.

321,225 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 2 mins ago
SF
Associate Director, Data Engineer
SickKids Foundation
Toronto, ON
- Full-time
We’re committed to attracting and retaining passionate individuals to help create a healthier future. That’s why SickKids Foundation is looking for a new Associate Director, Data Engineer.
Added 14 mins ago
MC
Staff Embedded Software Firmware Engineer (35836)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Staff Embedded Software/Firmware Engineer to design, develop, and test mission-critical firmware components for advanced embedded optical systems. This is a one-year…
Added 14 mins ago
MC
Principal Embedded Software Firmware Engineer (35837)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Principal Embedded Software/Firmware Engineer to own end-to-end embedded architecture and solutions for advanced optical devices. This is a one-year contract based in…
Added 14 mins ago
MC
FPGA Design & Validation Engineer – 4G 5G Radio (35952)
Myticas Consulting
Ottawa, ON
- Contract
FPGA Design & Validation Engineer – 4G/5G Radio Units
Added 14 mins ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Develop and optimize SQL queries to extract, transform and analyze data from multiple systems.
Added 14 mins ago
MC
Senior Embedded Software Firmware Engineer (35835)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Senior Embedded Software/Firmware Engineer to develop and test next-generation firmware for advanced embedded optical systems. This is a one-year contract based in Ottawa,…
Added 14 mins ago
WS
Photonics Engineer
WORLD STAR TECH
Toronto, ON · Greater Toronto Area, Canada
- Full-time
World Star Tech is a leading manufacturer of laser systems for biomedical, instrumentation, and machine vision applications. Based in Markham, our modern facility is home to a dynamic team…
Added 14 mins ago
MC
Coherent Optical Systems Engineer (35886)
Myticas Consulting
Ottawa, ON · Kanata, ON
- Full-time
We are seeking a Coherent Optical Systems Engineer to contribute to the design, development, characterization, and optimization of advanced coherent optical transceivers based on…
Added 14 mins ago
WS
Optical Design Engineer
WORLD STAR TECH
Toronto, ON · Greater Toronto Area, Canada
- Full-time
World Star Tech is a leading manufacturer of laser systems for biomedical, instrumentation, and machine vision applications. Based in Markham, our modern facility is home to a dynamic team…
Added 14 mins ago
CL
Data Scientist
Charger Logistics Inc.
Brampton, ON
- Full-time
Certifications: Google Cloud Professional Data Engineer or Machine Learning Engineer is an asset; SnowPro® Advanced: Data Scientist certification preferred.
Added 14 mins ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
You are a hands-on senior QA automation engineer who can go beyond executing existing test scripts. You can design frameworks, understand complex backend integrations, trace data across…
Added 16 mins ago
A
Intermediate Geotechnical Engineer
AtkinsRéalis
Calgary, AB
- Full-time
…technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project…
Added 16 mins ago
KC
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
- Full-time
…real-time, continuous space communications while supporting advanced on-orbit compute and hosted payload…
Added 45 mins ago
A
Senior Software Engineer - GPU Profiling Tools
AMD
Markham, ON
- $132,000 to $198,000 USD / year
- Full-time
…strong understanding of GPU and computer system architecture, advanced C++ programming skills, and a strong interest in GPU developer tools, profiling methodologies, and low-level systems…
Added 47 mins ago
T
Data Engineer II
TD
Toronto, ON
- Full-time
Advanced knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures, including how they impact other technology areas such as Architecture or…
Added 47 mins ago
T
Data Engineer II
TD
Toronto, ON
- Full-time
Advanced knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures, including how they impact other technology areas such as Architecture or…
Added 47 mins ago
Senior Analytics Engineer
Aviva
Markham, ON
…establish a scalable, well‑governed data foundation that enables advanced analytics and supports future growth across Claims and…
Added 1 hour ago
FF
Principal Software Engineer
Forward Financing
Remote, Canada
- $200,000 to $250,000 CAD / year
- Full-time
- Remote
…analytical capabilities. We’re seeking a seasoned Principal Engineer with an architect’s mindset to own the technical vision and execution. As a technical leader, you will be instrumental…
Added 1 hour ago
A
Software Development Engineer In Test
Actalent
Waterloo, ON
- $40 to $50 CAD / hour
- Contract
This Software Development Engineer in Test (SDET) role focuses on designing, developing, and maintaining automated test scripts and tools in Python to validate new features for advanced…
Added 1 hour ago
EI
Product Engineer
ergoCentric Inc
Mississauga, ON
- Full-time
We are seeking a proactive, structured, and hands-on Product Engineer to join our engineering team. As our company scales, we are actively modernizing our engineering infrastructure,…
Added 1 hour ago
FM
Senior Software Engineer – Quality Assurance
Ford Motor Company
Ottawa, ON
- Full-time
The Senior Software Engineer – Quality Assurance is responsible for applying advanced quality methodologies and tools to proactively identify, analyze, and eliminate potential defects…
Added 2 hours ago
HT
Co-op Engineer
Huawei Technologies Canada Co., Ltd.
Ottawa, ON
- Internship
Huawei Canada's Advanced Optical Technology Lab focuses on advanced R&D in high-performance optical communications and networking. Our expert team specializes in transmission algorithms,…
Added 2 hours ago
ML
IT Security Consultant
Maple Leaf Foods Inc
Mississauga, ON
- $96,000 to $141,000 CAD / year
- Full-time
Expertise in the hands-on delivery of advanced, diverse security tools and systems in modern infrastructure.
Added 2 hours ago
L
Optical Verification Engineer Co-op/Intern
Lumentum
Ottawa, ON · Canada - Ottawa (Bill Leathem)
- Full-time
At Lumentum, we’re building the tech behind the world’s fastest networks and most advanced systems. Our optical and photonic solutions power everything from AI and cloud computing to data…
Added 2 hours ago
O
Automation, Controls & Electronics Technologist /Engineer
Orica
Calgary, AB
- $94,650 to $132,510 CAD / year
You'll work with PLCs, industrial networks, instrumentation, electrical and electronic control systems, Distributed Control Systems (DCS), Safety Instrumented Systems (SIS), and…

Manulife

Associate Applied AI Engineer – GenAI Systems

Toronto, ON, Canada

$69,525.00 CAD - $115,875.00 CAD · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $69,525.00 CAD - $115,875.00 CAD
Job type: Full-time
Apply by: Oct 19, 2026
Posting language: English
Posted: Oct 5, 2026

Original job description

Manulife is making a significant investment in Advanced Analytics and GenAI to transform how Finance, Treasury, and Actuarial teams make decisions. Our AI team builds practical, governed solutions that move from idea to implementation and are adopted in real business workflows.

We’re hiring two Associate Applied AI Engineers who bring strong technical depth, sound software engineering practices, and a modern GenAI design mindset to help deliver AI and GenAI capabilities that integrate effectively into real business workflows. This is an excellent opportunity for candidates with graduate-level training in AI/ML or related quantitative disciplines, as well as those in early-career applied AI roles, who want to work on meaningful business problems rather than research prototypes or notebook-based analysis alone. If you enjoy taking ambiguous business challenges and translating them into structured solution designs, measurable experiments, and production-ready outcomes, this role is for you.

Position Responsibilities:

1. Contribute to end-to-end solution design (GenAI + ML)

Translate business problems into a clear solution approach, including user workflow, data flow, model approach, evaluation plan, and operational controls.

Create lightweight, high-quality design artifacts such as system context, runtime sequence, agent/tool maps, data lineage, and decision logs that support implementation and governance.

Participate in design discussions and make thoughtful trade-offs across accuracy, explainability, cost, latency, and maintainability.

2. Build models and GenAI components for Finance & Actuarial use cases

Develop ML solutions such as forecasting, classification, NLP, anomaly detection, optimization, and scenario analysis.

Build GenAI capabilities such as retrieval-based solutions (RAG), structured summarization and extraction, transaction understanding, variance explanation, and tool-using workflows where appropriate.

Engineer features from structured and unstructured data and help ensure solutions remain robust as data evolves.

3. Apply strong evaluation and testing practices

Implement performance evaluation using holdouts, backtesting, error analysis, and fit-for-purpose metrics aligned to the business problem.

For GenAI, help design practical evaluation approaches such as scenario coverage, edge cases, human review rubrics, quality scoring, and regression testing.

Document model limitations clearly and support guardrails that improve the reliability and safe use of outputs.

4. Partner closely to productionize and operate solutions

Collaborate with Data Engineering, ML Engineering, and Software teams to productionize solutions through reliable data pipelines, model packaging, CI/CD, deployment, and monitoring.

Write maintainable, tested code using strong software engineering practices such as version control, modular design, logging, and code review.

Support monitoring for data quality, drift, performance deterioration, and operational failures, and help investigate issues when thresholds are breached.

Contribute to runbooks and support adoption and UAT with business users.

5. Work in a governed environment

Contribute to the documentation and evidence required for model risk review, including assumptions, validation results, monitoring plans, UAT evidence, and approvals.

Ensure privacy and security expectations are met through data minimization, appropriate access controls, and safe handling of sensitive information.

Follow established standards for reproducibility, traceability, model documentation, and auditability.

6. Grow team capability and delivery maturity

Learn quickly from design reviews, code reviews, and stakeholder feedback, and apply those lessons to future work.

Contribute reusable components, templates, examples, and testing patterns that make team delivery faster and more consistent.

Stay current with emerging AI and GenAI engineering patterns and bring forward practical ideas that improve how the team builds solutions.

Required Qualifications:

Master’s or PhD in Computer Science, Statistics, Machine Learning, Applied Mathematics, Operations Research, Engineering, or a related quantitative field.
0–3 years of experience in applied data science / machine learning, including internships, co-ops, research, or early-career industry experience; strong academic project work may also be considered.
Strong Python and SQL, with solid software engineering fundamentals such as Git-based workflows, code reviews, unit and integration testing, logging, readable code structure, debugging, and basic performance tuning.
Hands-on experience with modern DS/ML tooling such as scikit-learn, PyTorch/TensorFlow, Spark/Databricks or similar, including data preparation, feature engineering, and model development.
Demonstrated ability to turn a problem into a structured technical approach, including clear thinking around inputs, outputs, assumptions, failure modes, and evaluation.
Exposure to building or evaluating GenAI solutions, including at least one of: RAG, structured summarization/extraction, LLM-based classification, tool/function calling, or multi-step workflows.
Strong evaluation mindset across ML and GenAI, including metric selection, holdout testing, error analysis, scenario coverage, edge-case thinking, and basic regression testing approaches.
Understanding of production-oriented development, including packaging code, working with APIs or services, handling configuration, monitoring outputs, and designing for maintainability.
Strong communication skills, with the ability to explain technical outputs, limitations, and design choices in plain language.

Preferred Qualifications:

Master’s or PhD in Computer Science, Statistics, Machine Learning, Applied Mathematics, Operations Research, Engineering, or a related quantitative field.
0–3 years of experience in applied data science / machine learning, including internships, co-ops, research, or early-career industry experience; strong academic project work may also be considered.
Strong Python and SQL, with solid software engineering fundamentals such as Git-based workflows, code reviews, unit and integration testing, logging, readable code structure, debugging, and basic performance tuning.
Hands-on experience with modern DS/ML tooling such as scikit-learn, PyTorch/TensorFlow, Spark/Databricks or similar, including data preparation, feature engineering, and model development.
Demonstrated ability to turn a problem into a structured technical approach, including clear thinking around inputs, outputs, assumptions, failure modes, and evaluation.
Exposure to building or evaluating GenAI solutions, including at least one of: RAG, structured summarization/extraction, LLM-based classification, tool/function calling, or multi-step workflows.
Strong evaluation mindset across ML and GenAI, including metric selection, holdout testing, error analysis, scenario coverage, edge-case thinking, and basic regression testing approaches.
Understanding of production-oriented development, including packaging code, working with APIs or services, handling configuration, monitoring outputs, and designing for maintainability.
Strong communication skills, with the ability to explain technical outputs, limitations, and design choices in plain language.

When you join our team:

We’ll empower you to learn and grow the career you want.
We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
As part of our global team, we’ll support you in shaping the future you want to see.

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$69,525.00 CAD - $115,875.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact hr@manulife.com for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

Apply About employer

More about this job

Responsibilities

The role involves designing and building end-to-end GenAI and machine learning solutions to address complex business problems in Finance and Actuarial teams. Engineers will collaborate with cross-functional teams to productionize models while ensuring robust governance, evaluation, and operational reliability.

Requirements

Candidates must hold a Master’s or PhD in a quantitative field such as Computer Science, Statistics, or Machine Learning. The position requires 0–3 years of applied experience, strong proficiency in Python and SQL, and hands-on experience with modern ML tooling and GenAI frameworks.

Skills

Python
SQL
Machine Learning
GenAI
PyTorch
TensorFlow
Spark
Databricks
RAG
NLP
Software engineering
Git
CI/CD
Data engineering
Model evaluation
Statistical analysis

Benefits

Health insurance
Dental insurance
Mental health support
Vision insurance
Short-term disability
Long-term disability
Life insurance
AD&D insurance
Adoption/surrogacy benefits
Wellness benefits
Employee/family assistance plans
Retirement savings plans
Pension
Global share ownership plan
Paid time off

Visa sponsorship

Not detected in the job text

Keywords

GenAI
Machine Learning
Python
SQL
PyTorch
TensorFlow
Spark
Databricks
RAG
NLP
Data Engineering
CI/CD
Git
Model Risk Management
Governance
Predictive Modeling
Anomaly Detection
Optimization
Scenario Analysis
Feature Engineering
Unit Testing
Integration Testing
API
Cloud Computing
Quantitative Analysis
Finance
Actuarial Science
Data Lineage
Model Deployment
Monitoring

Report this job