Toronto, On Algorithm developer Jobs – 120 Openings This Week

AI/ML Architect, Public Sector Professional Services
Amazon Web Services Canada, Inc. —Toronto, ON
- $99,900–$166,900 a year
- Full-time
- Computer Science
- Engineering
- AWS
- Profit sharing
- Dental care
22h
Grid Automation Protection & Control Systems Engineering Leader
GE Vernova —Markham, ON
- $126,000–$176,000 a year
- Full-time
- Remote
- Engineering
- Master's degree
- Project management
Senior Backend Engineer, Entities
EvenUp —Toronto, ON
- $184,728–$249,926 a year
- Full-time
- Hybrid work
- Java
- C++
- Machine learning
- Designated paid holidays
- Disability insurance
Quick apply
1d
Sessional Lecturer - MMF2021H1F: Numerical Methods for Finance (Section LEC 0101)
University of Toronto —Toronto, ON
- $4,998.74–$5,476.98 a month
- Finance
- Teaching
9d
QA Manager
Caseware —Toronto, ON
- $110,000–$135,000 a year
- Full-time
- Hybrid work
- AWS
- JavaScript
- APIs
Quick apply
7d
Machine Learning Lead, Edge AI Inferencing
Blumind —Markham, ON
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
Quick apply
Director, SEO
WPP Media —Toronto, ON
- $110,000–$160,000 a year
- Hybrid work
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Dental care
- Paid time off
2d
Psychometrician
Vretta Inc. —Toronto, ON
- Full-time
- Master's degree
- Communication skills
- Python
Senior Software Engineer, Konnect Core Platform
Kong —Toronto, ON
- $115,000–$200,000 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- System design
9d
Senior Backend Engineer, AI Platform
EvenUp —Toronto, ON
- $158,525–$214,475 a year
- Full-time
- Hybrid work
- Java
- C++
- Machine learning
- Designated paid holidays
- Disability insurance
Quick apply
Senior AI Systems Engineer (Automation / Agents / Data Infrastructure)
Betstamp —Toronto, ON
- Full-time
- AWS
- AI
- Python
Senior Staff Embedded Software Developer - DSP
GE Vernova —Markham, ON
- Full-time
- Computer Science
- Engineering
- C++
Senior Product Manager, Auth0 Platform Infrastructure
Okta —Toronto, ON
- $146,000–$200,200 a year
- Hybrid work
- Azure
- AWS
- Driving
- Dental care
- Paid time off
Senior Actuarial Manager
Aviva —Toronto, ON
- $150,000–$170,000 a year
- Hybrid work
- Leadership
- Communication skills
Sales Manager
Build It —Mississauga, ON
- $70,000–$100,000 a year
- Full-time
- Sales
- Business development
Quick apply
Staff Embedded Engineer
ecobee Ltd —Toronto, ON
- $147,700–$180,000 a year
- Full-time
- C++
- Travel
- HVAC
- Disability insurance
- Dental care
Quick apply
Scientific Software Engineer
QuEra Computing, Inc. —Toronto, ON
- Doctoral degree
- Computer Science
- No university degree
- Paid time off
Senior Software Engineer, Server Security
MongoDB —Toronto, ON
- $137,000–$189,000 a year
- Hybrid work
- Azure
- Computer Science
- System design
Senior Director Engineering, Home Software Applications
Generac Power Systems Inc —Toronto, ON
- $239,000–$323,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Disability insurance
- Dental care
Quick apply

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Grid Automation Protection & Control Systems Engineering Leader
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Bachelor’s degree in electrical engineering or a related field; master’s degree a plus. Develop and implement strategic initiatives to support the seamless…
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algorithm developer jobs near toronto, on

AI/ML Architect, Public Sector Professional Services

Amazon Web Services Canada, Inc. -
Toronto, ON

Apply Now

Job details

Full-time
$99,900–$166,900 a year
22 hours ago

Qualifications

Statistics
Data modeling
Computer Science
PyTorch
Engineering
Git
AWS
Docker
Bachelor's
Machine learning
Business requirements
AI

Full job description

DESCRIPTION

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.

Are you passionate about developing machine learning (ML) and Generative AI (GenAI) solutions? Amazon has been investing in research and application of ML for decades. We are looking for people who can leverage their machine learning and Generative AI expertise to solve various business problems for our customers.

AWS Professional Services helps AWS customers accelerate the use of ML and GenAI to solve business and operational challenges and drive innovation within their organisations. If you have experience building ML or GenAI solutions, we encourage you to join us. We are constantly innovating at AWS, and look forward to working with great teammates and helping our customers together.

AI/ML Consultants understand customer business issues, analyse them, and summarise solutions. They build these solutions, using ML, GenAI and related AWS ML services as core component to solve the customer issues. They also work with their teammates such as AI/ML Engineers and Application Developers to bring these solutions to a production ready level. They are passionate about setting innovative goals and providing technical solutions to achieve them.

You will be supporting Canadian Public Sector projects in this role.

Key job responsibilities
Accurately understand the customer's business challenges and needs, structure the problems, and organise them as business requirements.
Extract the IT requirements necessary to realise the business requirements and select candidate AI/ML services and algorithms. In addition, you will work with specialist roles in related technical fields to build and verify ML solutions, as wellas help develop an architecture that combines the necessary AWS services for achieving the customer's goals.
Assist our customer on developing ML and GenAI projects from start to finish, providing technical sales support, conducting exploratory data analysis, building and validating ML and/or GenAI solutions, deploying validated solutions on their supporting infrastructure, and providing training to our customers.
Collaborate with ML Engineers Cloud Architect and Application Developer to build a production ready ML or GenAI solution
To support the above, you will work with a wide range of IT tools, including AWS services (e.g. Amazon Bedrock, Amazon Sagemaker, Amazon AgentCore), Git and Docker, as well as with a range on Ml and GenAI framework such as Strands-Agents, pytorch, transformers, etc.

A day in the life
AWS Professional Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

About the team
About AWS: diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture: here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth: we’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance: we value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

BASIC QUALIFICATIONS

Experience with AWS or cloud technologies
Bachelor's degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related work experience
5+ years of experience as a data scientist or ML Engineer with experience building ML models and GenAI systems
Ability to obtain Canadian federal security clearance, or valid Secret or Top Secret clearance.

PREFERRED QUALIFICATIONS

Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
Deep technical skills and business savvy, able to collaborate with a wide range of clients, from executives to engineers
Experience consulting with customers (including user departments) on their AI and GenAI needs.
Experience in building and maintaining MLOps systems, bringing models to production, and running data science development environments.
Knowledge/experience of data governance principles and practices
Knowledge/experience of data consumptions, visualization and reporting

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, ON, Ottawa - 99,900.00 - 166,900.00 CAD annually
CAN, ON, Toronto - 99,900.00 - 166,900.00 CAD annually

Apply Now

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algorithm developer jobs in toronto, on

AI/ML Architect, Public Sector Professional Services

Grid Automation Protection & Control Systems Engineering Leader

Senior Backend Engineer, Entities

Sessional Lecturer - MMF2021H1F: Numerical Methods for Finance (Section LEC 0101)

QA Manager

Machine Learning Lead, Edge AI Inferencing

Director, SEO

Psychometrician

Senior Software Engineer, Konnect Core Platform

Senior Backend Engineer, AI Platform

Senior AI Systems Engineer (Automation / Agents / Data Infrastructure)

Senior Staff Embedded Software Developer - DSP

Senior Product Manager, Auth0 Platform Infrastructure

Senior Actuarial Manager

Sales Manager

Staff Embedded Engineer

Scientific Software Engineer

Senior Software Engineer, Server Security

Senior Director Engineering, Home Software Applications

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