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Senior Machine Learning Platform Engineer
Catégorie: Digital – SALARY
Marque: Compass Digital
Emplacement: Mississauga, ON
Date d’affichage: March 24, 2025
QUEL SONT LES AVANTAGES POUR VOUS?
- Rejoignez une compagnie primée. Nous avons été reconnus pour être un des meilleurs lieux de travail par Great Place to Work, en plus d’avoir été nommé un des meilleurs lieux de travail dans l’industrie de la vente au détail et de l’accueil. Nous avons également été sélectionné pour figurer sur les listes FORTUNE Global 500 et FORTUNE World’s Most Admired Companies.
- Les occasions avec nous sont infinies. En tant que plus grande entreprise de services alimentaires et de soutien au monde, nous offrons une vaste gamme de possibilités d’apprentissage et de carrière à tous nos associés.
- Santé et sécurité. La santé et la sécurité de nos associés, clients et invités ont toujours été notre priorité absolue. Nous avons mis en place les bons processus pour nous assurer que nos équipes ont le soutien dont elles ont besoin pour rester en sécurité, tout en aidant à assurer la sécurité de nos clients.
- Avantages pour la santé. Pour nos associés admissibles, nous offrons une couverture complète en matière de santé, de vision et de soins dentaires.
- Un accent sur le mieux-être et la santé mentale. Maintenant, notre initiative en santé mentale et en bien-être a été créée pour partager des ressources dignes de confiance avec nos associés et les communautés que nous servons sur une variété de sujets, y compris le mieux-être mental, physique, spirituel et financier. Visitez notre site Web Stronger Together à
www.strongertogethercompass.com/fr . Nous avons également un programme d’aide à l’emploi qui permet à nos associés d’avoir accès à du soutien, des ressources et de l’information 24 h/24, 7 j/7. - Nous sommes aussi diversifiés que nos clients. Nous croyons que des environnements diversifiés et inclusifs favorisent l’innovation et la collaboration, tout en profitant à nos associés et clients. Nous nous engageons à Écouter, Apprendre et Agir; nos conseils d’action pour l’inclusion dans la diversité (DIAC) sont des groupes dirigés par des associés qui cherchent à favoriser l’inclusion par la sensibilisation culturelle, l’engagement et l’appréciation de la diversité. Ensemble, nous sommes plus forts!
You might not know our name, but you know where we are. That’s because Compass Group Canada is part of a global foodservice and support services company that’s the 6th largest employer in the world, with 625,000 employees.
You’ll find us in schools, colleges, hospitals, office buildings, senior living communities, tourist attractions, sports venues, remote camps and military installations and more. We’re in all major cities, at remote work sites and everywhere in between – doing business in Canada and 50+ other countries where you can learn and grow. Join us now and point your career forward!
Why work with Compass Digital? We are a member of Compass Group North America the leading foodservice and support services company. We create remarkable customer experiences through the innovative design and development of technology products and services. Compass Digital began as an innovation startup and the team has since rapidly grown and now supports technology and innovation across all of North America. Compass digital is comprised of user experience designers, developers, data scientists, project managers, business analysts, marketers and technology implementation managers, all of whom look at the world from a human perspective to rethink what’s possible in the areas of technology innovation and consumer engagement within the foodservice and hospitality industries. Join us.
Job Summary
We are seeking a Machine Learning Platform Engineer to develop, monitor, and integrate machine learning systems for autonomous decision-making. The role involves transitioning prototypes and proof of concept projects into production applications. The engineer will work closely with Data Scientists to extract and deliver unique business insights from large datasets, enhancing our data platforms. The primary focus is on designing and building a robust platform for machine learning systems, supporting machine learning and AI workflows to drive smarter decisions and better products.
Now, if you were to come on board as our Senior Machine Learning Platform Engineer, we’d ask you to do the following for us:
- Develop a comprehensive understanding of business requirements and data infrastructure.
- Integrate and manage data from multiple sources for robust platform functionality.
- Contribute to designing and enhancing platform features for automated ML & AI solutions.
- Gain in-depth knowledge of business areas and corresponding technical challenges.
- Tackle unstructured technical problems independently.
- Collaborate with teams to refine platform concepts and prototypes for stakeholder needs.
- Design, develop, and deploy scalable ML and AI systems and workflows across projects.
- Partner with strategic business stakeholders for data-driven insights and platform solutions.
- Maintain and support ML and AI platforms for reliability and performance.
- Deliver automated decision-making systems aligned with business goals and support them.
- Review and contribute to technical documentation for platform solutions.
- Ensure high-quality code and adherence to software development best practices.
- Measure and monitor the accuracy and performance of deployed models and platform solutions.
Think you have what it takes to be our Senior Machine Learning Platform Engineer? We’re committed to hiring the best talent for the role. Here’s how we’ll know you’ll be successful in the role:
- Background in Computer Science, Computational Science, Mathematics, or a related field.
- Solid knowledge of general Machine Learning concepts in theory and application.
- Advanced programming skills in Python.
- Experience with Machine Learning frameworks and libraries: TensorFlow, PyTorch.
- Experience deploying Machine Learning applications to production environments.
- Experience deploying infrastructure on cloud platforms (AWS, GCP, Azure).
- Experience with big data solutions and excellent written/verbal communication skills for relaying complex concepts to non-technical users.
This post is also available in:
English
This post is also available in:
English