Toronto, On Genai platform engineer python Jobs – 90 Openings This Week

Senior Data Scientist - Toronto (m/f/d)
autoTRADER.ca —Toronto, ON
- $180,000–$210,000 a year
- Computer Science
- Engineering
- AWS
- Employee assistance program
Sr GenAI/ML Engineers - Mississauga, Canada
Photon —Mississauga, ON
- Oracle
- DevOps
- Java
AI Engineer
Morningstar —Toronto, ON
- $106,037–$126,094 a year
- Full-time
- Hybrid work
- Computer science
- Databases
- AWS
Senior Cloud Engineer
BMO Financial Group —Toronto, ON
- $75,900–$141,900 a year
- Azure
- DevOps
- Research
- Tuition reimbursement
- Life insurance
Senior Platform Engineer
AutoTrader.ca —Toronto, ON
- $130,000–$160,000 a year
- On call
- DevOps
- AWS
- APIs
- Employee assistance program
7d
Senior Platform Engineer
autoTRADER.ca —Toronto, ON
- $130,000–$160,000 a year
- On call
- DevOps
- AWS
- APIs
- Employee assistance program
7d
Staff Applied AI/ML Scientist
TELUS —Toronto, ON
- $109,000–$202,000 a year
- Full-time
- Azure
- Doctoral degree
- Computer Science
AI Engineer
Scotiabank —Toronto, ON
- Azure
- DevOps
- Databases
- Tuition reimbursement
Gen AI
Tata Consultancy Services —Toronto, ON
- Azure
- AWS
- APIs
Agentic AI Developer
CGI —Toronto, ON
- $80,000–$130,000 a year
- Full-time
- Azure
- Computer Science
- Java
Quick apply
Generative AI Cloud Operations Engineer - Evinova
AstraZeneca —Mississauga, ON
- $114,622.40–$160,958.70 a year
- Temporary
- Hybrid work
- Azure
- High school diploma or GED
- AWS
AI Data Engineer
BMO Financial Group —Toronto, ON
- $75,900–$141,900 a year
- Full-time
- Azure
- AWS
- APIs
- Tuition reimbursement
- Life insurance
Sr. Data Scientist - GenAI
Manulife —Toronto, ON
- $129,400–$179,400 a year
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Disability insurance
- Dental care
Agentic AI Engineer
NTT Ltd —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- AWS
Data Scientist
Meridian Credit Union —Etobicoke, ON
- $68,800–$100,000 a year
- Hybrid work
- Azure
- Java
- Analysis skills
Data Scientist (Askuity division)
The Home Depot Canada —Toronto, ON
- $120,000–$150,000 a year
- Full-time
- Hybrid work
- Sales
- Merchandising
- SQL
- Profit sharing
Staff ML Data Engineer
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- Computer Science
- DevOps
Technology Analyst - GenAI
Infosys —Mississauga, ON
- $72,783–$105,007 a year
- Azure
- Computer Science
- DevOps
Quick apply
11d
Staff Engineer
Royal Bank of Canada —Toronto, ON
- Full-time
- Java
- Software development
- APIs
AI/ML Engineer (Senior Associate) - Remote
Huron Consulting Services LLC —Toronto, ON
- $130,000–$188,800 a year
- Full-time
- Remote
- Azure
- Computer Science
- Engineering
- Dental care
- Vision care
Quick apply
4d

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genai platform engineer python jobs near toronto, on

Senior Data Scientist - Toronto (m/f/d)

autoTRADER.ca -
Toronto, ON

Apply Now

Job details

$180,000–$210,000 a year

Qualifications

Computer Science
Engineering
Mathematics
AWS
Python

Full job description

We are TRADER, a Canadian leader in digital automotive solutions. Our flagship brands - AutoTrader.ca, AutoSync, Dealertrack Canada and CMS - help Canadians buy, sell, and finance vehicles with confidence.

As part of AutoScout24 group, Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond.

As Senior Data Scientist, you will be key contributor within our global Data Science organization, shaping AI and machine learning systems that sit at the core of our marketplace platforms across Europe and Canada.

You design, build, and operate machine learning and GenAI systems that run in production and matter to the business. You work on complex, ambiguous problems, exercise strong technical judgment, and take responsibility for outcomes - not just models. While this is a hands-on role, you are also expected to influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed. This position is permanent and based in Toronto.

What you’ll do

Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvement

Make sound architectural and methodological decisions for ML systems on AWS, balancing robustness, observability, cost, and long-term maintainability

Partner closely with Product, Engineering, and Business leaders to turn ambiguous problems into ML-enabled product solutions with clear outcomes

Operate and evolve ML systems deployed across multiple countries and markets, accounting for differences in data distributions, regulations, and constraints

Mentor other data scientists through hands-on technical guidance, design reviews, and shared ownership of systems

What you’ll need

Advanced degree in Computer Science, Engineering, Mathematics, or a comparable field

5+ years of experience building and owning production ML systems end-to-end in a real-world environment

Strong hands-on expertise in Python and modern ML frameworks, with the ability to ship, operate, and evolve ML systems in production

Solid experience with AWS and MLOps practices, including deployment, monitoring, and operating ML systems at scale

Practical experience applying GenAI / LLMs in applied or production contexts, with a clear understanding of trade-offs and limitations

Ability to influence technical decisions through clear judgment and collaboration, not formal authority

Experience supporting and guiding more junior data scientists through hands-on collaboration, code reviews, and technical feedback

Strong sense of ownership and accountability for outcomes, with a pragmatic approach to trade-offs and delivery

What’s in it for you

We understand that there is life at work and life outside of work. Here are a few benefits that support us to be our creative best.

Gym discounts
Employee and Family Assistance program
Virtual wellness events
Conferences & training budget
Regular internal training programs
Financial planning with 3% matching Pension
Competitive salary
Annual bonus structure

The base salary range for this position is CAD $180k – $210k.

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role, the total rewards package may also include benefits, bonus, and other employee offerings.

Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position.

Vacancy Status: This job posting is for an existing vacancy.

Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position.

Vacancy Status: This job posting is for an existing vacancy.

Apply Now

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genai platform engineer python jobs in toronto, on

Senior Data Scientist - Toronto (m/f/d)

Sr GenAI/ML Engineers - Mississauga, Canada

AI Engineer

Senior Cloud Engineer

Senior Platform Engineer

Senior Platform Engineer

Staff Applied AI/ML Scientist

AI Engineer

Gen AI

Agentic AI Developer

Generative AI Cloud Operations Engineer - Evinova

AI Data Engineer

Sr. Data Scientist - GenAI

Agentic AI Engineer

Data Scientist

Data Scientist (Askuity division)

Staff ML Data Engineer

Technology Analyst - GenAI

Staff Engineer

AI/ML Engineer (Senior Associate) - Remote

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