toronto, on ai engineer visa sponsorship Jobs – 36 Openings This Week

AI Engineer
KUBRA —Mississauga, ON
- $110,000–$130,000 a year
- Full-time
- Hybrid work
- SQL
- AWS
- Analysis skills
- Tuition reimbursement
Quick apply
Staff AI Platform Engineer
Invoca —Toronto, ON
- $180,000–$273,000 a year
- Remote
- Doctoral degree
- Computer Science
- Schematics
- Dental care
- Paid time off
Quick apply
DevOps Engineer - 6 Months Contract
Venterra Realty —Richmond Hill, ON
- $70–$80 an hour
- Call to connect
- Hybrid work
- DevOps
- Windows
- AWS
Quick apply
2d
ML Ops / Agent Ops Engineer
Cognizant —Toronto, ON
- $69,750–$110,000 a year
- Full-time
- Hybrid work
- APIs
- Python
- Office experience
Full Stack Engineer
8090 Solutions Inc —Toronto, ON
- $150,000 a year
- Full-time
- DevOps
- AWS
- In-person
- Dental care
- Vision care
Quick apply
Technology Analyst - GenAI
Infosys —Mississauga, ON
- $72,783–$105,007 a year
- Azure
- Computer Science
- DevOps
Quick apply
9d
Lead Security Engineer – AI Vulnerability Management
Cognizant —Toronto, ON
- $105,500–$124,000 a year
- Full-time
- Remote
- Administrative experience
- Analysis skills
- AI
- Designated paid holidays
- Disability insurance
2d
Senior Machine Learning Engineer
Red Hat, Inc. —Toronto, ON
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Analytics Engineer IV, ACV Capital
ACV Auctions —Toronto, ON
- $122,000–$153,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
- Employee stock purchase plan
- Disability insurance
Quick apply
3d
Senior ML Engineer
Invoca —Toronto, ON
- $152,000–$228,000 a year
- Remote
- Computer Science
- Engineering
- Travel
- Dental care
- Paid time off
Quick apply
Staff Software Engineer, Backend
Harvey —Toronto, ON
- Full-time
- Hybrid work
- Computer science
- Engineering
- Master's degree
- Relocation assistance
ML Developer Experience Engineer
Adaptive ML —Toronto, ON
- Full-time
- Hybrid work
- Organizational skills
- APIs
- AI
- Paid time off
Protection and Control Relay Tech
Phasor Engineering Inc —Toronto, ON
- $165,000–$225,000 a year
- Full-time
- Engineering
- Microsoft Office
- Analysis skills
- Wellness program
- Disability insurance
Quick apply
Channel Systems Engineering Manager
Palo Alto Networks —Toronto, ON
- $251,900–$346,325 a year
- English
- Presentation skills
- Travel
Mobile Maintenance Technician
CBRE —Toronto, ON
- $65,000–$70,000 a year
- Full-time
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
- Dental care
- Vision care
Associate - Analytics Engineering - Toronto
Teragonia —Toronto, ON
- $120,000–$133,000 a year
- Full-time
- Hybrid work
- Engineering
- Data analysis skills
- Finance
- Designated paid holidays
- Disability insurance
Quick apply
Building Operator
CBRE —Vaughan, ON
- Up to $65,000 a year
- Full-time
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
- Dental care
- Vision care
Security Architect
Venterra Realty —Richmond Hill, ON
- $130,000–$160,000 a year
- Full-time
- Hybrid work
- AWS
Quick apply
Principal Consultant, AI Assessments, Proactive Services (Unit 42) - Remote
Palo Alto Networks —Toronto, ON
- Remote
- Azure
- Computer Science
- DevOps
Analyst - Analytics Engineering - Toronto
Teragonia —Toronto, ON
- $95,000–$105,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Data analysis skills
- Designated paid holidays
- Disability insurance
Quick apply

I want to receive the latest job alerts for ai engineer visa sponsorship in toronto, on

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

ai engineer visa sponsorship jobs near toronto, on

AI Engineer

KUBRA -
Mississauga, ON

Quick apply

Job details

Full-time
$110,000–$130,000 a year

Qualifications

CI/CD
Law
SQL
AWS
Analysis skills
Machine learning
Organizational skills
APIs
Business requirements
AI
Model evaluation
Communication skills
Python

Full job description

KUBRA HQ is KUBRA’s unified, AI-powered, cloud-native platform that brings together all of our billing, payments, and customer experience solutions under one scalable system. It serves as the foundation for KUBRA’s products — from payments and alerts to portals and analytics — enabling clients to manage the entire customer communication and billing journey seamlessly.

The AI Engineer is responsible for designing, building, and operationalizing intelligent systems that extract value from data and power AI-driven product capabilities. This role spans applied AI (including generative AI and LLM-based systems), production-grade machine learning engineering, data science and advanced analytics.

The AI Engineer partners with Product, BI, and Data Engineering teams to establish AI and machine learning standards, architect scalable AI systems, and deliver measurable business impact across internal and customer-facing solutions.

This is a hybrid opportunity in Mississauga, ON.

How You’ll Contribute

Design and maintain scalable data-to-AI pipelines covering ingestion, transformation, feature/prompt engineering, model training, orchestration, deployment, and monitoring.
Deliver AI-driven solutions that measurably improve key product or operational metrics (e.g., revenue uplift, cost reduction, consumer satisfaction, platform efficiency, prediction accuracy, latency reduction).
Partner with Data and Product to identify and execute AI opportunities aligned with strategic objectives.
Establish and enforce AI and machine learning and data operational standards, governance, and best practices across the organization.
Deliver actionable, data-driven insights and reporting to inform business decisions and evaluate performance across products, operations, and AI systems.
Build reliable experimentation frameworks to validate model performance and business impact and drive iterative improvements through reliable model evaluation and testing.
Own the scalability, robustness, observability, optimization and operational excellence of production AI systems and data pipelines.

Strengths That Shine in This Role

Strong analytical and problem-solving skills, with the ability to translate ambiguous business requirements into structured AI and data solutions.
Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Ability to collaborate effectively across Product, Engineering, BI, and Data teams.
Strong organizational skills and ability to manage multiple priorities in a fast-paced environment.
Proactive, ownership-oriented mindset with the ability to work independently and drive solutions from concept to production.
Professionalism and composure when operating under pressure or resolving production issues.

Skills That Matter in This Role

Minimum of 3-5 years of designing, building, and operationalizing end-to-end data and AI systems in production environments
Sound knowledge of machine learning lifecycle from data gathering and data preparation to feature engineering to model deployment, monitoring and iteration.
Hands-on experience with LLM-based systems (e.g., RAG architectures, prompt engineering, model evaluation, API integration).
Strong programming skills in Python & SQL, experience writing production-quality code
Exposure to AWS Bedrock and preferably AWS Sagemaker, Cloud based AI/ML services and modern data platforms
Experience integrating external AI/LLM APIs and building and operationalizing application-layer AI services is desirable.
Strong software engineering fundamentals, including experience with CI/CD, testing practices, and containerization concepts.

Why You’ll Love Working Here

Thrive in an award-winning culture that champions growth, embraces diversity, and fosters inclusion for all. See our awards

Earn annual performance-based bonuses recognizing your contributions
Enjoy generous benefit coverage with low premiums, plus a Healthcare Spending Account and Wellness Spending Account
Invest in your future with RRSP matching
Take time to recharge with paid vacation and sick days, and enjoy a paid day off for your birthday
Make a difference with two paid volunteer days to support causes you care about
Keep learning with free access to LinkedIn Learning and our education reimbursement program for continued development
Feel appreciated through our employee recognition programs
Support your mental health with a free premium Headspace membership
Stay refreshed with unlimited access to fully stocked beverage stations
Save more with exclusive Perkopolis retail discounts

This position is bonus eligible.

At KUBRA, we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

In accordance with Ontario employment legislation, this job posting is for an existing open vacancy.

KUBRA is an equal opportunity employer dedicated to building an inclusive and diverse workforce. We will provide accommodations during the recruitment process upon request by emailing [email protected]. Information received relating to accommodation will be addressed confidentially. We thank all applicants for their interest; however, only candidates under consideration will be contacted.

#LI-AA1

While we value the skills and experiences listed in our job requirements, we also recognize that talent comes in many forms, and welcome applications from candidates who meet most but not all specified requirements. If you possess a strong desire to learn and grow in a dynamic work environment, apply now!

KUBRA is a fast-growing company that delivers customer communications solutions to some of the largest utility, insurance, and government entities across North America. KUBRA offers billing and payments, mapping, mobile apps, proactive communications, and artificial intelligence solutions for customers. With more than 1.5 billion customer interactions annually, KUBRA services reach over 40% of households in the U.S. and Canada. KUBRA is an operating subsidiary of Hearst.

Our office is small enough to allow creative individuals to flourish, yet large enough to provide long-term stability. We place a tremendous amount of responsibility on our team members to be productive, focused and self-motivated. We offer a casual work environment, competitive compensation and a stellar benefits program.

KUBRA does not typically provide immigration-related assistance, including employment-based work visa (e.g. H-1B) sponsorship, work permit applications and extensions, permanent residence (green card) sponsorship, LMIA applications or permanent residency nominations. Candidates must ensure they have legal authorization to work in the U.S/ Canada. All sponsorship determinations are case by case based on business need.

Quick apply

Refine Your Search

ai engineer visa sponsorship jobs in toronto, on

AI Engineer

Staff AI Platform Engineer

DevOps Engineer - 6 Months Contract

ML Ops / Agent Ops Engineer

Full Stack Engineer

Technology Analyst - GenAI

Lead Security Engineer – AI Vulnerability Management

Senior Machine Learning Engineer

Analytics Engineer IV, ACV Capital

Senior ML Engineer

Staff Software Engineer, Backend

ML Developer Experience Engineer

Protection and Control Relay Tech

Channel Systems Engineering Manager

Mobile Maintenance Technician

Associate - Analytics Engineering - Toronto

Building Operator

Security Architect

Principal Consultant, AI Assessments, Proactive Services (Unit 42) - Remote

Analyst - Analytics Engineering - Toronto

I want to receive the latest job alerts for ai engineer visa sponsorship in toronto, on

Related Searches

Explore jobs in more locations

How You’ll Contribute

Strengths That Shine in This Role

Skills That Matter in This Role

Why You’ll Love Working Here

Job seeker tools

Employer Tools

Browse

Stay Connected