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Added 8 days ago
Staff AI Engineer
Safe Software
Remote, Canada
$147,000 to $167,000 CAD / year
Full-time · Remote
Safe Software is looking for a Staff AI Engineer to design, build, and deploy production-grade AI systems across the organization.
Added 8 days ago
Sr. Analytics and Automation Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
Full-time
Sr. Analytics and Automation Engineer - Focus on Micro segmentation Policy-as-a-Code.
Added 8 days ago
Lead Agentic AI Engineer
RBC
Toronto, ON
Full-time
Establish reusable agent design patterns including prompting strategies, orchestration, memory models, tool usage, and escalation paths in collaboration with AI Engineering
Added 8 days ago
Senior AI Engineer
Tundra Technical Solutions
Toronto, ON
$80 to $88 CAD / hour
Contract
We are looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents, integrating advanced AI capabilities into enterprise…
Added 8 days ago
MLOps Engineer, LLM Systems (Serving, GPU Kernels, Profiling)
Weekday AI
Remote, Canada
Part-time · Remote
…evaluation work, including writing and assessing MLOps and ML systems tasks and solutions to generate high-quality training data for frontier AI…
Added 10 days ago
Machine Learning Engineer
ALS
Montreal, QC · CAN - QC - Montreal (Rue Saint-Nicolas)
We are seeking an Machine Learning Engineer to develop and apply advanced analytical and machine learning techniques that strengthen ALS Canada ltd scientific capabilities. You’ll work…
Added 9 days ago
Audio/Edge AI Silicon Validation and Firmware Engineer
Qualcomm
Markham, ON
Full-time
An ideal candidate is an embedded Firmware Engineer interested in helping to validate and develop world-class low power audio and AI solutions. Replacement Position
Added 9 days ago
Senior Solutions Engineer
Suger.io
Vancouver, BC
$120,000 to $160,000 CAD / year
Full-time
…pre-sales position. You’ll partner with engineering teams to design, build, and launch complex integrations on top of Suger’s platform, while also shaping internal systems, APIs, and…
Added 8 days ago
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
$168,000 to $231,000 CAD / year
Full-time
In this role, you will join the Agent Access Policies sub-team within Okta Secures AI as a Staff Machine Learning (ML) Engineer to advance Okta's authorization capabilities. By replacing…
Added 8 days ago
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
In this role, you will join the Agent Access Policies sub-team within Okta Secures AI as a Staff Machine Learning (ML) Engineer to advance Okta's authorization capabilities. By replacing…
Added 9 days ago
Sr. Engineer - AI Solutions
Magna International
Aurora, ON · Toronto, ON
$102,500 to $124,700 CAD / year
Full-time
We see a future where everyone can live and move without limitations. That’s why we are developing technologies, systems and concepts that make vehicles safer and cleaner, while serving our…
Added 9 days ago
AI Security Engineer
Celestica International LP
Toronto, ON
This role primarily focuses on the design, review of AI Security architecture and as well as the deployment and management of AI Solutions at Celestica. It includes (but not limited to) the…
Added 9 days ago
QA Automation Engineer (Askuity division)
The Home Depot Canada
Toronto, ON
Full-time
We are looking for a dynamic QA Automation Engineer, eager to deliver high quality SaaS based products. As a member of the Product Development team at Askuity, you will help design and…
Added 24 days ago
AI and Data - Manager - AI/ML Engineer
EY
AB · Calgary, AB
Lead and manage end‑to‑end delivery of AI/ML engagements, from use‑case identification and solution design through development, testing, deployment and optimization.
Added 9 days ago
Data Scientist & Machine Learning Engineer
Identity Digital Inc.
Toronto, ON
$87,000 to $114,000 CAD / year
Full-time
The Data & Analytics team builds and manages data systems, analyzes information to generate insights, and develops machine learning models to support automated decisioning. As a Data…
Added 9 days ago
Data AI Engineer
Tata Consultancy Services
Mississauga, ON
$100,000 to $130,000 CAD / year
Full-time
We are looking for an AI Engineer to design, develop, and deploy production-grade Machine Learning and Generative AI
Added 11 days ago
Senior ML Platform Engineer
Spin Master
Toronto, ON
Full-time
Design and manage model deployment, versioning, and rollback strategies for a fleet of consumer hardware devices
Added 10 days ago
Senior ASIC Design Engineer, Low Power AI
Qualcomm
Markham, ON
Full-time
We are looking for an ASIC Design Engineer that will work with industry leading edge HW Design technology and processes and provide expertise for next generation initiatives. As a leader in…
Added 9 days ago
Développeur.se de logiciels sénior.e - outils de moteur génératif / Senior Software Engineer - Generative Engine Tools
Electronic Arts (EA)
Montreal, QC
Full-time
…contribute to our experiences, supported by thoughtful product design, safety systems, and global reach. Our focus is on enabling more players to participate in creative expression by…
Added 9 days ago
Machine Learning Engineer
ALS
Montreal, QC
Full-time
We are seeking an Machine Learning Engineer to develop and apply advanced analytical and machine learning techniques that strengthen ALS Canada ltd scientific capabilities. You’ll work…
Added 9 days ago
Senior DevOps/SRE Engineer
Credit Genie
Toronto, ON
Full-time
…customer-facing features, but we need you to think like a software engineer when you design platform, tooling, and…
Added 9 days ago
AI Engineer
Cognizant
Toronto, ON
Full-time
Design, build, and optimize agentic AI systems and LLM-powered applications (RAG pipelines, agent orchestration)
Added 10 days ago
Data Engineer, Amazon Traffic Engineering
Amazon
Vancouver, BC
We are seeking an experienced Data Engineer to build and operate the Core Data Infrastructure that underpins our ML and Science initiatives for Bot Management. You will design and own…
Added 10 days ago
Security Engineer , AI Security
Amazon
Vancouver, BC
…ground up? The Amazon AI Security team is looking for a Security Engineer to design security controls and validate that our AI and machine learning (ML) services, applications, and emerging…
Added 9 days ago
Computer Vision Engineer
SearchLabs
Mississauga, ON
$200,000 to $250,000 CAD / year
Full-time
Design, develop, and productionize advanced computer vision and multimodal AI systems.

ALS

Machine Learning Engineer

Montreal, QC, Canada

Job type: Full-time
Apply by: Oct 15, 2026
Posting language: English · French
Posted: Sep 15, 2026

Apply About employer

Applications open in a new tab.

Original job description

English section of this bilingual listing.

At ALS, we encourage you to dream big.

When you join us, you’ll be part of a global team harnessing the power of scientific testing and data-driven insights to build a healthier future.

French and English versions below / Versions française et anglaise ci-dessous

We are seeking an Machine Learning Engineer to develop and apply advanced analytical and machine learning techniques that strengthen ALS Canada ltd scientific capabilities. You’ll work hands-on with complex datasets, computational methods, and modern AI frameworks to deliver data‑driven insights and production‑ready solutions.

For this role, we are looking for a flexible, problem solver scientist who can explore, model, and operationalize data from diverse sources. You’ll be responsible for analyzing signal, image, spectral, and sensor data; building and evaluating machine learning models; and supporting the deployment of these models into cloud‑based and web‑based applications. You’ll collaborate closely with domain experts, engineers, and clients to translate scientific and business requirements into reliable, scalable, and innovative analytical solutions.

Key Responsibilities :

Partner with domain experts and clients to turn scientific and business needs into clear problem statements, success metrics, and delivery plans.
Ingest, clean, and analyze complex datasets (e.g., signals, spectral measurements, images, and sensor/IoT data) to support modeling and decision-making.
Build, train, validate, and iterate on machine learning models using modern frameworks, with a focus on robustness and measurable performance.
Deploy models to Azure and integrate them into production workflows through reliable APIs and services.
Design and maintain reproducible ML pipelines for training, evaluation, release, and monitoring.
Implement CI/CD for ML services and pipelines (Azure DevOps/GitHub Actions) and manage environments with Infrastructure-as-Code (Terraform/Bicep).
Design and maintain backend services, APIs, and data pipelines that support inference, data access, and system integration.
Monitor and improve production systems by tracking model quality, drift, latency, reliability, and cost; troubleshoot issues and prevent regressions.
Optimize data processing for scale and efficiency, balancing performance, maintainability, and resource usage.
Read and apply relevant research to R&D work, reproducing methods and adapting them to real-world constraints.
Plan and run software experiments; collaborate with lab teams on hardware/sensor experiments when needed to validate results.
Stay current with ML/AI advances and recommend practical improvements to tools, processes, and project approaches.
Experience with Docker and Azure deployment patterns (AKS/App Service/Functions) is a plus.

Required Knowledge, Skills & Abilities:

Strong proficiency in Python for data processing (pandas, NumPy), statistical analysis, visualization (matplotlib, seaborn), and machine learning (e.g., PyTorch).
Demonstrated experience applying machine learning techniques to real‑world problems across diverse domains.
Solid understanding of data modelling, algorithms, and data structures.
Interest in IoT systems and sensor‑based data workflows.
Experience in data-intensive or ML-driven products.
Ability to work both independently and collaboratively in a dynamic, fast‑paced environment.
Excellent problem‑solving, critical‑thinking, and communication skills.
Strong foundation in theoretical or mathematical computer science.

Required Qualifications:

Bachelor’s or Master’s degree in computer science, engineering, or a related quantitative field.

Our Benefits Include:

Comprehensive benefit package specific to your work status (including extended medical, dental, and vision coverage, access to company perks, life and disability insurance, retirement plan with company match, employee assistance and wellness programs)
Additional vacation days for years of service
Business support for education or training after 9 months with the company
Learning & development opportunities (unlimited access to e-learnings and more)

Please note: Benefits vary based on employee status.

Working at ALS

The ALS team is a diverse and dedicated community united by our passion to make a difference in the world.

Our values are important to us, and shape how we work, how we treat each other and how we recognise excellence.

At ALS, you’ll be supported to develop new skills and reach your full potential. We invest in our people with programs and opportunities that help you build a diverse career with us.

We want everyone to have a safe, flexible and rewarding career that makes a positive impact on our people, the planet and our communities.

Everyone Matters

ALS is proud to be an equal opportunity employer and is committed to fostering an inclusive work environment where the strengths and perspectives of each employee are both recognised and valued.

Qualified candidates will be considered without regard to race, colour, religion, national origin, military or veteran status, gender, age, disabilities, sexual orientation, gender identity, pregnancy and pregnancy-related conditions, genetic information and any other characteristics protected by the law. We invite resumes from all interested parties, including women, First Nations, Metis and Inuit persons, members of minority groups, and persons living with disabilities.  

ALS also welcomes applications from people with all levels of ability. Reasonable adjustments to support candidates throughout the recruitment process are available upon request. 

Eligibility

To be eligible to work at ALS you must be a Citizen or Permanent Resident of the country you are applying for, or either hold or be able to obtain, a valid working visa.

How To Apply

Please apply on-line and provide a resume & cover letter that best demonstrate your motivation and ability to meet the requirements of this role.

Read the full bilingual original

At ALS, we encourage you to dream big.

When you join us, you’ll be part of a global team harnessing the power of scientific testing and data-driven insights to build a healthier future.

French and English versions below / Versions française et anglaise ci-dessous

À propos du poste:

Nous recherchons un(e) ingénieur(e) en apprentissage automatique (Machine Learning) pour développer et appliquer des techniques analytiques et d’apprentissage automatique avancées afin de renforcer les capacités scientifiques d’ALS Canada ltée. Vous travaillerez concrètement avec des ensembles de données complexes, des méthodes computationnelles et des cadres d’IA modernes pour fournir des informations fondées sur les données et des solutions prêtes pour la mise en production.

Pour ce poste, nous cherchons une personne flexible, scientifique et résolveuse de problèmes, capable d’explorer, de modéliser et d’opérationnaliser des données provenant de sources diverses. Vous serez responsable d’analyser des données de signaux, d’images, spectrales et de capteurs; de construire et d’évaluer des modèles d’apprentissage automatique; et de soutenir le déploiement de ces modèles dans des applications infonuagiques et Web. Vous collaborerez étroitement avec des expert(e)s du domaine, des ingénieur(e)s et des client(e)s afin de traduire les exigences scientifiques et d’affaires en solutions analytiques fiables, évolutives et innovantes.

A propos du poste:

Collaborer avec des expert(e)s du domaine et des client(e)s pour transformer les besoins scientifiques et d’affaires en énoncés de problèmes clairs, indicateurs de succès et plans de livraison.
Ingest(er), nettoyer et analyser des ensembles de données complexes (p. ex., signaux, mesures spectrales, images et données de capteurs/IoT) afin de soutenir la modélisation et la prise de décision.
Concevoir, entraîner, valider et itérer des modèles d’apprentissage automatique à l’aide de cadres modernes, en mettant l’accent sur la robustesse et une performance mesurable.
Déployer des modèles sur Azure et les intégrer aux flux de travail de production au moyen d’API et de services fiables.
Concevoir et maintenir des pipelines ML reproductibles pour l’entraînement, l’évaluation, la mise en version (release) et la surveillance.
Mettre en place le CI/CD pour les services et pipelines ML (Azure DevOps/GitHub Actions) et gérer les environnements via l’infrastructure en tant que code (Terraform/Bicep).
Concevoir et maintenir des services backend, des API et des pipelines de données qui prennent en charge l’inférence, l’accès aux données et l’intégration des systèmes.
Surveiller et améliorer les systèmes en production en suivant la qualité des modèles, la dérive, la latence, la fiabilité et les coûts; diagnostiquer les problèmes et prévenir les régressions.
Optimiser le traitement des données à grande échelle et l’efficacité, en conciliant performance, maintenabilité et utilisation des ressources.
Lire et appliquer la recherche pertinente aux travaux de R-D, reproduire des méthodes et les adapter aux contraintes du monde réel.
Planifier et réaliser des expérimentations logicielles; collaborer au besoin avec les équipes de laboratoire sur des essais matériels/de capteurs afin de valider les résultats.
Rester à l’affût des avancées en ML/IA et recommander des améliorations pratiques aux outils, processus et approches de projet.
L’expérience avec Docker et les modèles de déploiement Azure (AKS/App Service/Functions) constitue un atout.
Utiliser les bonnes méthodes conformément aux procédures et aux calendriers établis tout en garantissant la qualité de l'analyse ;
Respecter les règles de sécurité établies et se conformer à toutes les politiques et procédures de santé et de sécurité de l'ALS ;
Autres tâches assignées.

Connaissances, compétences et aptitudes requises:

Familiarité avec les méthodologies et outils Agile, avec une expérience de contribution aux processus de développement de produits itératifs.
Excellente maîtrise de Python pour le traitement des données (pandas, NumPy), l’analyse statistique, la visualisation (matplotlib, seaborn) et l’apprentissage automatique (p. ex., PyTorch).
Expérience démontrée dans l’application de techniques d’apprentissage automatique à des problèmes réels dans divers domaines.
Solide compréhension de la modélisation des données, des algorithmes et des structures de données.
Intérêt pour les systèmes IoT et les flux de travail de données basés sur des capteurs.
Expérience dans des produits à forte intensité de données ou axés sur le ML.
Capacité à travailler de façon autonome et en collaboration dans un environnement dynamique et rapide.
Excellentes aptitudes en résolution de problèmes, pensée critique et communication.
Solides bases en informatique théorique ou mathématique.

Qualifications requises:

Baccalauréat ou maîtrise en informatique, en ingénierie ou dans un domaine connexe quantitatif.

Nos advantages comprennent:

Régime complet d’avantages sociaux selon votre statut d’emploi (incluant couverture médicale complémentaire, soins dentaires et soins de la vue, accès aux avantages de l’entreprise, assurance vie et invalidité, régime de retraite avec contribution de l’employeur, programmes d’aide aux employé(e)s et de mieux-être).
Jours de vacances additionnels selon les années de service.
Soutien de l’entreprise pour la formation ou les études après 9 mois au sein de l’entreprise.
Occasions d’apprentissage et de développement (accès illimité aux formations en ligne et plus encore).

About the Position:

We are seeking an Machine Learning Engineer to develop and apply advanced analytical and machine learning techniques that strengthen ALS Canada ltd scientific capabilities. You’ll work hands-on with complex datasets, computational methods, and modern AI frameworks to deliver data‑driven insights and production‑ready solutions.

For this role, we are looking for a flexible, problem solver scientist who can explore, model, and operationalize data from diverse sources. You’ll be responsible for analyzing signal, image, spectral, and sensor data; building and evaluating machine learning models; and supporting the deployment of these models into cloud‑based and web‑based applications. You’ll collaborate closely with domain experts, engineers, and clients to translate scientific and business requirements into reliable, scalable, and innovative analytical solutions.

Key Responsibilities :

Partner with domain experts and clients to turn scientific and business needs into clear problem statements, success metrics, and delivery plans.
Ingest, clean, and analyze complex datasets (e.g., signals, spectral measurements, images, and sensor/IoT data) to support modeling and decision-making.
Build, train, validate, and iterate on machine learning models using modern frameworks, with a focus on robustness and measurable performance.
Deploy models to Azure and integrate them into production workflows through reliable APIs and services.
Design and maintain reproducible ML pipelines for training, evaluation, release, and monitoring.
Implement CI/CD for ML services and pipelines (Azure DevOps/GitHub Actions) and manage environments with Infrastructure-as-Code (Terraform/Bicep).
Design and maintain backend services, APIs, and data pipelines that support inference, data access, and system integration.
Monitor and improve production systems by tracking model quality, drift, latency, reliability, and cost; troubleshoot issues and prevent regressions.
Optimize data processing for scale and efficiency, balancing performance, maintainability, and resource usage.
Read and apply relevant research to R&D work, reproducing methods and adapting them to real-world constraints.
Plan and run software experiments; collaborate with lab teams on hardware/sensor experiments when needed to validate results.
Stay current with ML/AI advances and recommend practical improvements to tools, processes, and project approaches.
Experience with Docker and Azure deployment patterns (AKS/App Service/Functions) is a plus.

Required Knowledge, Skills & Abilities:

Strong proficiency in Python for data processing (pandas, NumPy), statistical analysis, visualization (matplotlib, seaborn), and machine learning (e.g., PyTorch).
Demonstrated experience applying machine learning techniques to real‑world problems across diverse domains.
Solid understanding of data modelling, algorithms, and data structures.
Interest in IoT systems and sensor‑based data workflows.
Experience in data-intensive or ML-driven products.
Ability to work both independently and collaboratively in a dynamic, fast‑paced environment.
Excellent problem‑solving, critical‑thinking, and communication skills.
Strong foundation in theoretical or mathematical computer science.

Required Qualifications:

Bachelor’s or Master’s degree in computer science, engineering, or a related quantitative field.

Our Benefits Include:

Comprehensive benefit package specific to your work status (including extended medical, dental, and vision coverage, access to company perks, life and disability insurance, retirement plan with company match, employee assistance and wellness programs)
Additional vacation days for years of service
Business support for education or training after 9 months with the company
Learning & development opportunities (unlimited access to e-learnings and more)

Please note: Benefits vary based on employee status.

Working at ALS

The ALS team is a diverse and dedicated community united by our passion to make a difference in the world.

Our values are important to us, and shape how we work, how we treat each other and how we recognise excellence.

At ALS, you’ll be supported to develop new skills and reach your full potential. We invest in our people with programs and opportunities that help you build a diverse career with us.

We want everyone to have a safe, flexible and rewarding career that makes a positive impact on our people, the planet and our communities.

Everyone Matters

ALS is proud to be an equal opportunity employer and is committed to fostering an inclusive work environment where the strengths and perspectives of each employee are both recognised and valued.

Qualified candidates will be considered without regard to race, colour, religion, national origin, military or veteran status, gender, age, disabilities, sexual orientation, gender identity, pregnancy and pregnancy-related conditions, genetic information and any other characteristics protected by the law. We invite resumes from all interested parties, including women, First Nations, Metis and Inuit persons, members of minority groups, and persons living with disabilities.  

ALS also welcomes applications from people with all levels of ability. Reasonable adjustments to support candidates throughout the recruitment process are available upon request. 

Eligibility

To be eligible to work at ALS you must be a Citizen or Permanent Resident of the country you are applying for, or either hold or be able to obtain, a valid working visa.

How To Apply

Please apply on-line and provide a resume & cover letter that best demonstrate your motivation and ability to meet the requirements of this role.

Apply About employer

More about this job

Responsibilities

Develop and deploy advanced machine learning models and reproducible pipelines to analyze complex signal, image, and sensor data. Collaborate with domain experts to translate scientific requirements into scalable production-ready AI solutions on Azure.

Requirements

Requires a Bachelor's or Master's degree in computer science, engineering, or a quantitative field with strong proficiency in Python and ML frameworks. Candidates should have experience in data-intensive products and a solid foundation in theoretical computer science or mathematics.

Skills

Python
PyTorch
Pandas
NumPy
Azure
CI/CD
Docker
Terraform
Bicep
API Design
Data Modeling
Machine Learning
IoT Systems
Statistical Analysis
Agile Methodologies
Data Visualization

Benefits

Extended Medical Coverage
Dental Coverage
Vision Coverage
Company Perks
Life Insurance
Disability Insurance
Retirement Plan With Company Match
Employee Assistance Program
Wellness Programs
Additional Vacation Days
Education And Training Support
Learning And Development Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Azure
Azure DevOps
GitHub Actions
Terraform
Bicep
Docker
AKS
App Service
Azure Functions
Python
PyTorch
Pandas
NumPy
Matplotlib
Seaborn
IoT
Sensor Data
Spectral Measurements
CI/CD
Infrastructure-as-Code
Data Pipelines
API
R&D
Agile
Data Modeling
Algorithms
Data Structures
Computer Science

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