25 meilleures offres (manager, applied ai/ml, data science & engineering, toronto, on) (à pourvoir)

AI Engineer
KUBRA —Mississauga, ON
- De 110 000 $ à 130 000 $ par an
- Temps plein
- Travail hybride
- SQL
- AWS
- Esprit d'analyse
- Bourses d'Études
Postuler rapidement
Python Application Developer, AVP
Citi —Mississauga, ON
- De 94 300 $ à 141 500 $ par an
- Temps plein
- Gestion de projet
- Baccalauréat
- Diplôme universitaire non requis
Manager, Applied AI/ML, Data Science & Engineering
Autodesk —Toronto, ON
- De 158 000 $ à 231 000 $ par an
- Temps plein
- DevOps
- AWS
- Gestion de projet
il y a 8 jours
Founding Applied AI Lead
Pear VC —Toronto, ON
- De 110 000 $ à 200 000 $ par an
- Temps plein
- Travail hybride
- Schémas
- Anglais
- Maîtrise
Applied AI Scientist (Hybrid)
Homebase —Toronto, ON
- De 108 000 $ à 130 000 $ par an
- Temps plein
- Travail hybride
- SQL
- Apprentissage automatique
- Intelligence artificielle
- Jours fériés payés
- Assurance Invalidité
Applied AI Engineer
Derivative Path —Toronto, ON
- De 110 000 $ à 150 000 $ par an
- Temps plein
- Télétravail
- Azure
- AWS
- Intelligence artificielle
- Assurance Dentaire
- Congés payés
il y a 7 jours
Junior Data Scientist
Cushman & Wakefield —Toronto, ON
- De 114 750 $ à 135 000 $ par an
- Temps plein
- Azure
- Doctorat
- Soins Immédiats en Réanimation
- Assurance Invalidité
- Assurance Dentaire
Postuler rapidement
19 h
Lead AI Engineer
Altus Group —Toronto, ON
- De 200 000 $ à 230 000 $ par an
- Temps plein
- Apprentissage automatique
- En présentiel
- Intelligence artificielle
Principal Product Manager - Applied ML (Remote - Canada)
Yelp —Toronto, ON
- De 202 000 $ à 243 000 $ par an
- Temps plein
- Télétravail
- Gestion de produits
- Compétences en communication
Applied Science Manager III, RBKS AI
Amazon Development Centre Canada ULC —Toronto, ON
- De 222 800 $ à 372 000 $ par an
- Temps plein
- Apprentissage automatique
- Régimes de participation aux bénéfices
- Assurance Dentaire
Full Stack Data Science Engineering Specialist
TD Bank —Toronto, ON
- De 187 500 $ à 261 000 $ par an
- Temps plein
- Bilingue
- Azure
- Anglais
- Congés payés
Staff Applied AI Agent Developer
Google —Toronto, ON
- De 207 000 $ à 301 000 $ par an
- Temps plein
- Doctorat
- Informatique
- Ingénierie
Data Science Manager
Deloitte —Toronto, ON
- De 84 000 $ à 175 000 $ par an
- Travail hybride
- Azure
- Oracle
- Maîtrise
Data Scientist
FutureFit AI —Toronto, ON
- De 100 000 $ à 155 000 $ par an
- Temps plein
- Télétravail
- SQL
- AWS
- Déplacements à prévoir
il y a 12 jours
Director, Data Science, AI Evaluations Platform
Royal Bank of Canada —Toronto, ON
- Temps plein
- SQL
- Apprentissage automatique
- Services financiers
il y a 1 jour
ML/AI Research Engineer
BMO Financial Group —Toronto, ON
- De 103 200 $ à 192 000 $ par an
- Temps plein
- Doctorat
- Informatique
- Ingénierie
- Bourses d'Études
- Assurance Vie
Applied Researcher 1
eBay Inc. —Toronto, ON
- De 118 000 $ à 157 500 $ par an
- Temps plein
- Doctorat
- Informatique
- Anglais
- Congés payés
AI Engineer
Patlytics, Inc. —Toronto, ON
- Temps plein
- Travail hybride
- Bases de données
- SQL
- AWS
- Aide au Transport Quotidien
- Jours fériés payés
il y a 7 jours
Data Scientist
Ontario Teachers' Pension Plan —Toronto, ON
- De 105 000 $ à 155 000 $ par an
- Temps plein
- Informatique
- Doctorat
- Maîtrise
Applied AI Specialist – Data Systems
Element Fleet Management —Toronto, ON
- De 76 300 $ à 104 900 $ par an
- Temps plein
- Azure
- Informatique
- Ingénierie
Data Engineering Specialist
Aecon Group —Toronto, ON
- De 81 500 $ à 95 000 $ par an
- Azure
- Informatique
- Ingénierie
VP of Engineering & AI
Big Viking Games —Toronto, ON
- De 200 000 $ à 250 000 $ par an
- Temps plein
- Travail hybride
- DevOps
- Intelligence artificielle
- Congés payés
Postuler rapidement
Manager AI and Applied Research
Thomson Reuters —Toronto, ON
- Temps plein
- Travail hybride
- Azure
- Expérience en gestion
- Doctorat
- Bourses d'Études
Staff Data Scientist
Index Exchange —Toronto, ON
- Temps plein
- Informatique
- Ingénierie
- Recherche
- Programmes de Bien-être
- Assurance Dentaire
Applied Scientist, Sales AI
Amazon Development Centre Canada ULC —Toronto, ON
- De 149 300 $ à 249 300 $ par an
- Temps plein
- Doctorat
- Informatique
- Java
- Régimes de participation aux bénéfices
- Assurance Dentaire

Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : manager, applied ai/ml, data science & engineering (toronto, on)

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AI Engineer

KUBRA
Mississauga, ON

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Détails du poste

Temps plein

Avantages

Cotisation égale au RÉER
Bourses d'Études
Vacances payées

Compétences

CI/CD
Droit
SQL
AWS
Esprit d'analyse
Apprentissage automatique
Sens de l'organisation
APIs
Exigences d'affaires
Intelligence artificielle
Évaluation de modèle
Compétences en communication
Python

Description complète du poste

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.

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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : manager, applied ai/ml, data science & engineering (toronto, on)

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