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Full Stack ML Engineer
Full Stack ML EngineerALS • North Vancouver, Metro Vancouver Regional District, CA
Full Stack ML Engineer

Full Stack ML Engineer

ALS • North Vancouver, Metro Vancouver Regional District, CA
7 days ago
Job type
  • Permanent
Job description

Overview

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. Versiones françaises et anglaises ci-dessous.

About The Position

We are seeking a Full Stack ML Engineer to build and maintain robust, scalable web applications across both frontend and backend systems. You’ll work hands-on with modern frameworks, cloud services, and databases to deliver high-quality features and improvements.

In this role, you'll be responsible for developing user interfaces, designing APIs, integrating with cloud infrastructure, and ensuring performance, security, and maintainability. You’ll collaborate closely with product managers, data scientists, ML engineers, and other engineers to translate business requirements into technical solutions that are reliable and future-ready.

Responsibilities

  • Take over and manage all existing backend systems and infrastructure.
  • Conduct thorough testing and debugging of web applications, ensuring high-quality deliverables.
  • Assist in the design, deployment, and maintenance of machine learning models.
  • Ensure smooth knowledge transfer and continuity as team members transition to other roles.
  • Foster a collaborative, high-performance engineering culture.
  • Architect, design, implement, and oversee backend systems, APIs, and data pipelines.
  • Ensure systems are secure, scalable, and maintainable.
  • Lead the adoption of best practices in software development, code quality, and testing.
  • Own and manage our Azure infrastructure, ensuring cost efficiency, security, and scalability.
  • Oversee Terraform-based Infrastructure as Code (IaC) deployments.
  • Manage and optimize Machine Learning pipelines and MLOps workflows for model training, deployment, and monitoring.
  • Implement and facilitate continuous integration and delivery processes.
  • Collaborate with product and domain specialists, as well as frontend teams to align backend solutions with product needs.
  • Plan and prioritize backend roadmap items.
  • Provide regular progress updates to senior leadership.

Required Knowledge, Skills & Abilities

  • Proven experience as a backend engineer with at least 3+ years in software development.
  • Experience with containerization (Kubernetes, Docker).
  • Strong expertise in Azure (Virtual Machines, Blob Storage, Azure Functions, API Management, ARM / Bicep / Terraform, Azure Active Directory, etc.).
  • Experience in data-intensive or ML-driven products.
  • Experience with Machine Learning pipelines and MLOps tools / workflows.
  • Proficiency in Python for backend and data processing.
  • Experience with Databases (SQL and NoSQL).
  • Experience in Microservice architectures and distributed systems.
  • Track record of delivering production-grade backend systems at scale.
  • Strong understanding of security best practices and cloud cost optimization.
  • An agile mindset and the ability to adapt to evolving needs in a fast-paced environment.
  • Required Qualifications

  • Bachelor's / Master’s degree in computer science, information systems, or a relevant quantitative discipline.
  • 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.

    Version française

    À propos du poste

    Nous recherchons un ingénieur ML Full Stack pour développer et maintenir des applications web robustes et évolutives sur les systèmes front-end et back-end. Vous travaillerez avec des frameworks modernes, des services cloud et des bases de données afin de fournir des fonctionnalités et des améliorations de haute qualité.

    À ce poste, vous serez chargé de développer des interfaces utilisateur, de concevoir des API, d'intégrer l'infrastructure cloud et de garantir les performances, la sécurité et la maintenabilité. Vous collaborerez étroitement avec les chefs de produit, les data scientists, les ingénieurs ML et d'autres ingénieurs afin de traduire les exigences commerciales en solutions techniques fiables et évolutives.

    Principales responsabilités

  • Prendre en charge et gérer tous les systèmes et infrastructures backend existants.
  • Effectuer des tests et des débogages approfondis des applications web, afin de garantir des livrables de haute qualité.
  • Participer à la conception, au déploiement et à la maintenance des modèles d'apprentissage automatique.
  • Assurer un transfert de connaissances et une continuité sans heurts lorsque les membres de l'équipe changent de poste.
  • Favoriser une culture d'ingénierie collaborative et hautement performante.
  • Concevoir, mettre en œuvre et superviser les systèmes backend, les API et les pipelines de données.
  • Garantir la sécurité, l'évolutivité et la maintenabilité des systèmes.
  • Diriger l'adoption des meilleures pratiques en matière de développement logiciel, de qualité du code et de tests.
  • Posséder et gérer notre infrastructure Azure, en garantissant la rentabilité, la sécurité et l'évolutivité.
  • Superviser les déploiements d'infrastructure en tant que code (IaC) basés sur Terraform.
  • Gérer et optimiser les pipelines d'apprentissage automatique et les workflows MLOps pour la formation, le déploiement et la surveillance des modèles.
  • Mettre en œuvre et faciliter les processus d'intégration et de livraison continues.
  • Collaborer avec les spécialistes des produits et des domaines, ainsi qu'avec les équipes frontales afin d'aligner les solutions backend sur les besoins des produits.
  • Planifier et hiérarchiser les éléments de la feuille de route backend.
  • Fournir régulièrement des mises à jour sur l'avancement des travaux à la direction.
  • Connaissances, compétences et aptitudes requises

  • Expérience avérée en tant qu'ingénieur backend avec au moins 3 ans d'expérience dans le développement de logiciels.
  • Expérience en conteneurisation (Kubernetes, Docker).
  • Solide expertise dans Azure (machines virtuelles, stockage Blob, Azure Functions, gestion des API, ARM / Bicep / Terraform, Azure Active Directory, etc.).
  • Expérience dans les produits à forte intensité de données ou basés sur le ML.
  • Expérience avec les pipelines de machine learning et les outils / workflows MLOps.
  • Maîtrise de Python pour le backend et le traitement des données.
  • Expérience avec les bases de données (SQL et NoSQL).
  • Expérience dans les architectures microservices et les systèmes distribués.
  • Expérience avérée dans la livraison de systèmes backend à grande échelle prêts pour la production.
  • Solide compréhension des meilleures pratiques en matière de sécurité et d\'optimisation des coûts du cloud.
  • Esprit agile et capacité à s'adapter à des besoins en constante évolution dans un environnement en mutation rapide.
  • Qualifications Requises

  • Licence / master en informatique, systèmes d\'information ou dans une discipline quantitative pertinente.
  • Nos avantages sociaux comprennent

  • Un salaire annuel estimé entre 100 000 et 120 000 dollars au moment de la publication. La rémunération individuelle est déterminée par des facteurs tels que les compétences liées à l\'emploi, l\'expérience pertinente, l\'éducation et / ou la formation.
  • Un ensemble complet d\'avantages sociaux adaptés à votre statut professionnel (y compris une couverture médicale, dentaire et optique étendue, l\'accès aux avantages sociaux de l\'entreprise, une assurance vie et invalidité, un plan de retraite avec abondement de l\'entreprise, des programmes d\'aide aux employés et de bien-être)
  • Des jours de congé supplémentaires en fonction de vos années de service
  • Un soutien de l\'entreprise pour la formation ou l\'éducation après 9 mois au sein de l\'entreprise
  • Des opportunités d\'apprentissage et de développement (accès illimité à des formations en ligne et plus encore)
  • Remarque : les avantages sociaux varient en fonction du statut de l\'employé.

    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.

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    Full Stack ML Engineer • North Vancouver, Metro Vancouver Regional District, CA

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