25 meilleures offres (mlops engineer, toronto, on) (à pourvoir)

Staff Applied ML Engineer
Kaseya Careers —Toronto, ON
- De 220 000 $ à 280 000 $ par an
- SQL
- Apprentissage automatique
- Mentorat
Principal AI Engineer
Tangerine Bank —Toronto, ON
- Mentorat
- Intelligence artificielle
- Leadership
Machine Learning Engineer
Bree —Toronto, ON
- De 180 000 $ à 250 000 $ par an
- Temps plein
- Travail hybride
- Azure
- SQL
- AWS
- Aide au Transport Quotidien
- Assurance Dentaire
Applied AI Engineer
Derivative Path —Toronto, ON
- De 110 000 $ à 150 000 $ par an
- Temps plein
- Télétravail
- Azure
- AWS
- Développement logiciel
- Assurance Dentaire
- Congés payés
AI Engineer - Generative & Agentic AI
BDO —Toronto, ON
- De 84 000 $ à 128 000 $ par an
- Temps plein
- Azure
- Conception de systèmes
- Recherche
- Congés payés
Machine Learning Engineer
Manulife —Toronto, ON
- De 94 430 $ à 144 430 $ par an
- Temps plein
- Travail hybride
- Azure
- Informatique
- Ingénierie
- Assurance Invalidité
- Assurance Dentaire
il y a 6 jours
AI ModelOps Engineer
Canadian Tire Corporation —Toronto, ON
- De 80 000 $ à 131 000 $ par an
- Temps plein
- Azure
- Informatique
- Ingénierie
- Régimes de participation aux bénéfices
23 h
AI Engineer
Guidepoint —Toronto, ON
- De 135 000 $ à 210 000 $ par an
- Travail hybride
- Azure
- Informatique
- Ingénierie
- Congés payés
AI Research Engineer
Deloitte —Toronto, ON
- De 72 000 $ à 138 000 $ par an
- Travail hybride
- Azure
- Recherche
- AWS
Machine Learning Engineer
eBay Inc. —Toronto, ON
- De 142 400 $ à 190 100 $ par an
- Temps plein
- Informatique
- Ingénierie
- Java
- Congés payés
il y a 12 jours
Machine Learning Engineer
Sobeys —Toronto, ON
- De 102 000 $ à 140 000 $ par an
- Temps plein
- Travail hybride
- Azure
- Informatique
- Ingénierie
- Réductions Tarifaires
- Assurance Dentaire
Postuler rapidement
AI Engineer
BDO —Toronto, ON
- De 77 000 $ à 117 000 $ par an
- Temps plein
- Azure
- Informatique
- Ingénierie
- Congés payés
AI/ML Engineer
Lucrodyne —Toronto, ON
- Travail hybride
- Azure
- Informatique
- Windows
AI Quality Engineer
Royal Bank of Canada —Toronto, ON
- Temps plein
- DevOps
- Java
- Apprentissage automatique
il y a 5 jours
Machine Learning Engineer II
TD Bank —Toronto, ON
- De 154 000 $ à 199 500 $ par an
- Temps plein
- Informatique
- Azure
- Informatique
- Congés payés
Data Scientist (Askuity division)
The Home Depot Canada —Toronto, ON
- De 120 000 $ à 150 000 $ par an
- Temps plein
- Travail hybride
- Marchandisage
- Baccalauréat
- Gestion de produits
- Régimes de participation aux bénéfices
il y a 6 jours
Principal Machine Learning Engineer
Equinix —Toronto, ON
- De 154 000 $ à 232 000 $ par an
- Temps plein
- Informatique
- Azure
- Doctorat
- Jours fériés payés
- Programme d'Aide aux Employés
il y a 14 jours
AI Engineer
Chubb —Toronto, ON
- Temps plein
- Azure
- Conception de systèmes
- AWS
Gen AI Engineering and Scaled AI Transformation
Citi —Mississauga, ON
- De 145 100 $ à 217 700 $ par an
- Temps plein
- Travail hybride
- Conception de systèmes
- Maîtrise
- Baccalauréat
Lead, AI/Machine Learning Engineer
OMERS —Toronto, ON
- De 86 000 $ à 130 000 $ par an
- Temps plein
- Travail hybride
- Azure
- Informatique
- Ingénierie
AI/ML Engineer
Recutify Inc. —Toronto, ON
- Temps plein
- Télétravail
- Azure
- SQL
- AWS
Postuler rapidement
Specialist, AI Engineering
Definity Financial Corporation —Toronto, ON
- De 92 000 $ à 142 000 $ par an
- Temps plein
- Travail hybride
- Informatique
- Java
- Maîtrise
- Bourses d'Études
- Congés payés
Forward Deployed Engineer (OpenAI Platform)
Carbon60 —Toronto, ON
- De 160 000 $ à 200 000 $ par an
- Temps plein
- Télétravail
- Azure
- Bases de données
- SQL
- Programmes de Bien-être
- Assurance Dentaire
il y a 4 jours
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group —Toronto, ON
- De 200 000 $ à 250 000 $ par an
- Azure
- Doctorat
- Informatique
Senior AI Engineer
Tangerine Bank —Toronto, ON
- Informatique
- Azure
- Informatique

Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : mlops engineer (toronto, on)

En vous connectant à votre compte, vous acceptez les conditions d'utilisation, la politique relative aux fichiers témoins et la politique de confidentialité de Workopolis.

Staff Applied ML Engineer

Kaseya Careers
Toronto, ON

Postuler dès maintenant

Détails du poste

Compétences

Droit
PyTorch
Coaching
SQL
Pandas
Apprentissage automatique
Mentorat
Analytique des données
APIs
Science des données
Intelligence artificielle
Évaluation de modèle

Description complète du poste

About Kaseya

Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success.

Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.

Founded in 2000, Kaseya has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike.

At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar.

Job Title:

Staff Applied Machine Learning Engineer (AI Workflows & Product Intelligence)

Why Kaseya?

Join a fast-growing company that's transforming the IT industry. At Kaseya, you'll have the opportunity to work with cutting-edge technology, collaborate with a dynamic team, and develop your career in a highimpact role.

Join the Kaseya growth rocket ship and see how we are #ChangingLives!

Job Summary

We're hiring a Staff Applied Machine Learning Engineer to build AI-powered workflows and data-driven product capabilities across Kaseya's product suite. This role focuses on applied ML, data analysis, model development, and production integration of AI features that help classify requests, recommend actions, route work, enrich data, and automate repetitive workflows. You'll partner with Product, Engineering, Data, and ML teams to deliver production-ready AI capabilities while helping teams adopt repeatable patterns for model evaluation, workflow design, and responsible AI usage.

Roles & Responsibilities

Analyze product and customer data using Python, pandas, SQL, PySpark, or similar tools to identify patterns and modeling opportunities
Build and productionize ML models for classification, recommendations, similarity, ranking, routing, and prediction use cases
Design AI-powered workflows that transform unstructured inputs such as tickets, emails, forms, messages, and logs into structured data
Partner with Engineering teams to integrate ML models and AI workflows into production systems through APIs, services, and automation logic
Define evaluation methods, telemetry, feedback loops, and monitoring practices for AI-powered product features
Build reusable patterns, templates, and best practices for data ingestion, feature creation, model usage, and responsible AI implementation
Provide technical guidance to product teams on AI opportunity sizing, ML design, model trade-offs, and production readiness
Mentor junior data and ML engineers through code reviews, model reviews, pairing, and technical coaching

Required Qualifications

5+ years of experience in data science, machine learning engineering, applied ML, or a related production-focused role
Experience building ML models for classification, recommendation, similarity, ranking, prediction, or related product use cases
Experience using Python, pandas, SQL, and PyTorch or similar tools for data analysis and model development
Experience using PySpark or similar distributed data processing frameworks
Experience integrating ML models into production systems through APIs, microservices, batch workflows, or automated product workflows

Preferred Qualifications

Experience with LLM-powered workflows, RAG, prompt engineering, fine-tuning, tool use, or agent orchestration
Experience building agent-assist features, automated resolution workflows, or AI-powered operational products
Experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or similar platforms
Experience with production model monitoring, model evaluation, online experiments, or feedback loops
Experience applying matrix factorization, embeddings, clustering, dimensionality reduction, or latent factor modeling
Experience working in a platform or enablement role supporting multiple product teams
Experience mentoring data scientists, ML engineers, analysts, or software engineers on applied ML practices

Compensation Range

The base salary range for this job is CAD $220,000 – $280,000 / year.

An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, and abilities of the applicant. At Kaseya, certain roles are eligible for benefits and additional rewards. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role.

Additional Information

Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

#IND525

Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

Postuler dès maintenant

Affinez votre recherche

mlops engineer emplois - toronto, on