Job Description

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.
A propos du poste:
Nous recherchons un(e) ingenieur(e) en apprentissage automatique (Machine Learning) pour developper et appliquer des techniques analytiques et d'apprentissage automatique avancees afin de renforcer les capacites scientifiques d'ALS Canada ltee. Vous travaillerez concretement avec des ensembles de donnees complexes, des methodes computationnelles et des cadres d'IA modernes pour fournir des informations fondees sur les donnees et des solutions pretes pour la mise en production.
Pour ce poste, nous cherchons une personne flexible, scientifique et resolveuse de problemes, capable d'explorer, de modeliser et d'operationnaliser des donnees provenant de sources diverses. Vous serez responsable d'analyser des donnees de signaux, d'images, spectrales et de capteurs; de construire et d'evaluer des modeles d'apprentissage automatique; et de soutenir le deploiement de ces modeles dans des applications infonuagiques et Web. Vous collaborerez etroitement avec des expert(e)s du domaine, des ingenieur(e)s et des client(e)s afin de traduire les exigences scientifiques et d'affaires en solutions analytiques fiables, evolutives 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 enonces de problemes clairs, indicateurs de succes et plans de livraison.
• Ingest(er), nettoyer et analyser des ensembles de donnees complexes (p. ex., signaux, mesures spectrales, images et donnees de capteurs/IoT) afin de soutenir la modelisation et la prise de decision.
• Concevoir, entrainer, valider et iterer des modeles d'apprentissage automatique a l'aide de cadres modernes, en mettant l'accent sur la robustesse et une performance mesurable.
• Deployer des modeles sur Azure et les integrer aux flux de travail de production au moyen d'API et de services fiables.
• Concevoir et maintenir des pipelines ML reproductibles pour l'entrainement, l'evaluation, 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 gerer les environnements via l'infrastructure en tant que code (Terraform/Bicep).
• Concevoir et maintenir des services backend, des API et des pipelines de donnees qui prennent en charge l'inference, l'acces aux donnees et l'integration des systemes.
• Surveiller et ameliorer les systemes en production en suivant la qualite des modeles, la derive, la latence, la fiabilite et les couts; diagnostiquer les problemes et prevenir les regressions.
• Optimiser le traitement des donnees a grande echelle et l'efficacite, en conciliant performance, maintenabilite et utilisation des ressources.
• Lire et appliquer la recherche pertinente aux travaux de R-D, reproduire des methodes et les adapter aux contraintes du monde reel.
• Planifier et realiser des experimentations logicielles; collaborer au besoin avec les equipes de laboratoire sur des essais materiels/de capteurs afin de valider les resultats.
• Rester a l'affut des avancees en ML/IA et recommander des ameliorations pratiques aux outils, processus et approches de projet.
• L'experience avec Docker et les modeles de deploiement Azure (AKS/App Service/Functions) constitue un atout.
• Utiliser les bonnes methodes conformement aux procedures et aux calendriers etablis tout en garantissant la qualite de l'analyse ;
• Respecter les regles de securite etablies et se conformer a toutes les politiques et procedures de sante et de securite de l'ALS ;
• Autres taches assignees.

Connaissances, competences et aptitudes requises:

• Familiarite avec les methodologies et outils Agile, avec une experience de contribution aux processus de developpement de produits iteratifs.
• Excellente maitrise de Python pour le traitement des donnees (pandas, NumPy), l'analyse statistique, la visualisation (matplotlib, seaborn) et l'apprentissage automatique (p. ex., PyTorch).
• Experience demontree dans l'application de techniques d'apprentissage automatique a des problemes reels dans divers domaines.
• Solide comprehension de la modelisation des donnees, des algorithmes et des structures de donnees.
• Interet pour les systemes IoT et les flux de travail de donnees bases sur des capteurs.
• Experience dans des produits a forte intensite de donnees ou axes sur le ML.
• Capacite a travailler de facon autonome et en collaboration dans un environnement dynamique et rapide.
• Excellentes aptitudes en resolution de problemes, pensee critique et communication.
• Solides bases en informatique theorique ou mathematique.

Qualifications requises:

• Baccalaureat ou maitrise en informatique, en ingenierie ou dans un domaine connexe quantitatif.

Nos advantages comprennent:

• Salaire annuel estime entre 100 000 et120000et120000 au moment de l'affichage. La remuneration individuelle est determinee selon des facteurs tels que les competences liees au poste, l'experience pertinente, la scolarite et/ou la formation.
• Regime complet d'avantages sociaux selon votre statut d'emploi (incluant couverture medicale complementaire, soins dentaires et soins de la vue, acces aux avantages de l'entreprise, assurance vie et invalidite, regime de retraite avec contribution de l'employeur, programmes d'aide aux employe(e)s et de mieux-etre).
• Jours de vacances additionnels selon les annees de service.
• Soutien de l'entreprise pour la formation ou les etudes apres 9 mois au sein de l'entreprise.
• Occasions d'apprentissage et de developpement (acces illimite aux formations en ligne et plus encore).

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 francaise 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

• An estimated annual salary ranging from $100,000 - $120,000 at the time of posting. Individual compensation is determined by factors such as job-related skills, relevant experience, education and/or training.
• 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.

Skills Required