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Added 1 month ago
T
Senior Specialist UT Systems Engineer
Telesat
Ottawa, ON · Greater Ottawa Metropolitan Area
- Full-time
The Senior Specialist User Terminal Systems Engineer will provide technical expertise in the development of equipment, software and systems related to the development of LEO Lightspeed user…
Added 1 month ago
WA
MLOps Engineer, LLM Systems (Serving, GPU Kernels, Profiling)
Weekday AI
Remote, Canada
- Part-time
- Remote
…assessing MLOps and ML systems tasks and solutions to generate high-quality training data for frontier AI…
Added 2 months ago
S
Senior Geotechnical and Geohazards Engineer
Stantec
Calgary, AB
- Full-time
Reporting to the Vice President, Geohazards, Stantec is looking for a Senior Geotechnical and Geohazards Engineer with the ability to join one of our offices in Calgary, Alberta or Burnaby,…
Added 1 month ago
D
Lead Data/Analytics Engineer
dutch
Vancouver, BC
- Full-time
We’re looking for a Lead Data/Analytics Engineer to own how Dutch measures its product and business. You’ll run the event instrumentation pipeline, build the models and metrics layers that…
Added 1 month ago
C
Staff Software Engineer, Fullstack
Cloudjobs
Toronto, ON
- Full-time
As a staff software engineer in Reverse ETL, you’ll be on the front lines of integrating data activation capabilities into the Fivetran product along every dimension – UI, authentication,…
Added 1 month ago
Manager, Development Engineering (Water and Wastewater)
Region of Waterloo
Kitchener, ON
…Our mission is to provide essential services that enhance the quality of life for all residents, while our core value emphasizes caring for people and the land we share. Join us and be part…
Added 1 month 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 1 month ago
J
Staff Data Engineer
Jobber
Edmonton, AB
- Full-time
Then Jobber might be the place for you! We’re looking for a new Staff Data Engineer to join our Data Platform Team.
Added 1 month ago
J
Staff Data Engineer
Jobber
Kitchener, ON
- Full-time
Then Jobber might be the place for you! We’re looking for a new Staff Data Engineer to join our Data Platform Team.
Added 1 month ago
J
Staff Data Engineer
Jobber
Vancouver, BC
- Full-time
Then Jobber might be the place for you! We’re looking for a new Staff Data Engineer to join our Data Platform Team.
Added 1 month ago
J
Staff Data Engineer
Jobber
Toronto, ON
- Full-time
Then Jobber might be the place for you! We’re looking for a new Staff Data Engineer to join our Data Platform Team.
Added 1 month ago
EC
Ingénieur(e) principal(e) en réseaux de puissance / Lead Power System Engineer
Eaton Corporation
Brossard, QC
- Full-time
Eaton's Electrical Engineering Services and Systems division is currently seeking a Lead Power System Engineer. This role is based in our Eaton Americas Innovation Center in Brossard,…
Added 1 month ago
A
Digital Systems Lead
AtkinsRéalis
Toronto, ON · Montreal, QC
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together,…
Added 1 month ago
A
Civil Structural Engineer
AtkinsRéalis
Oshawa, ON
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together,…
Added 1 month ago
A
Senior Reactor Analysis Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together,…
Added 1 month ago
UT
Senior ASIC RTL Design Engineer
USA Tech Recruit
Ottawa, ON
- $150,000 to $200,000 CAD / year
- Full-time
We are looking for a Senior ASIC RTL Design Engineer to join a long-term client engagement focused on an advanced I/O chiplet combining die-to-die connectivity with multi-protocol,…
Added 1 month ago
N
QA Laboratory Test Engineer
Nexans
Fergus, ON
- Full-time
Gather, manipulate and use technical data and analysis to identify and resolve quality issues
Added 1 month ago
Q
SOC Design Engineer
Qualcomm
Vancouver, BC · Markham, ON · Toronto, ON
- Full-time
…enable next-generation experiences and drives communication and data processing transformation to help create a smarter, connected future for all. As a Qualcomm ASIC Engineer, you will…
Added 1 month ago
I
Sr. Machine Learning Engineer
Insight
Remote, Canada
- Full-time
- Remote
Build anomaly detection and regression models. Develop end-to-end pipelines that check data quality, engineer features, train, tune and evaluate models, and perform either batch or online…
Added 1 month ago
Software Dev Engineer II, RDS for Oracle, RDS for Oracle
Amazon
Vancouver, BC
Amazon Web Services is hiring a Software Development Engineer III for the RDS for Oracle team. We are looking for an experienced engineer to design and build the next generation of managed…
Added 1 month ago
A
Senior Reactor Analysis Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together,…
Added 1 month ago
A
Senior Reactor Analysis Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together,…
Added 1 month ago
A
Digital Systems Lead
AtkinsRéalis
Montreal, QC
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together,…
Added 1 month ago
Lead Software Engineer II (Node JS)
Momentum Financial Services Group
Toronto, ON
We’re hiring a Lead Software Engineer, Backend & Cloud Platform, to help own and operate Integration Hub, an AWS-based integration platform supporting Integration with Internal & External…
Added 1 month ago
Manufacturing Engineering - Mechanical Co-Op
L3Harris Technologies
Hamilton, ON · Waterdown, ON
…direction and guidance of your Manager and the Senior Operations Engineer Lead, you be collaborating with contacts on Operations Engineering, Engineering and Production teams to explain and…

ALS

Machine Learning Engineer

Montreal, QC, Canada
CAN - QC - Montreal (Rue Saint-Nicolas), Canada

Apply About employer

Applications open in a new tab.

Job details

Posting language: English · French
Posted: Sep 15, 2026

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

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.

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:

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.

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

The Machine Learning Engineer will develop and deploy advanced analytical models to process complex datasets including signals, images, and sensor data. They will collaborate with domain experts to integrate these models into production environments using Azure and CI/CD pipelines.

Requirements

Candidates must hold a Bachelor's or Master's degree in computer science, engineering, or a related quantitative field. Strong proficiency in Python, machine learning frameworks, and experience with data-intensive products are required.

Skills

Python
Machine learning
Data analysis
PyTorch
Pandas
NumPy
Statistical analysis
Data modeling
Azure
CI/CD
Terraform
Bicep
IoT
API development
Agile methodologies
Critical thinking

Benefits

Extended medical coverage
Dental coverage
Vision coverage
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
Python
Azure
Data Science
IoT
CI/CD
Terraform
Bicep
PyTorch
Pandas
NumPy
API
Agile
Data Modeling
Cloud Computing
Docker
AKS
Statistical Analysis
R&D
Infrastructure as Code
Data Pipelines
Sensor Data
Spectral Analysis
Azure DevOps
GitHub Actions
Software Engineering
Predictive Modeling
Model Deployment
System Integration
Backend Services

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