• Lead the design and development of scalable ML infrastructure and data pipelines that support multiple Data Science teams across Marketing Intelligence • Build reusable frameworks and workflows for feature engineering, model training, deployment, and backfilling at scale • Design and maintain CI/CD systems for data and ML pipelines, enabling reliable and automated production deployments • Improve system reliability through monitoring, alerting, and observability across data and ML workflows • Partner with Data Scientists to productionize models, standardize workflows, and eliminate redundant engineering effort • Optimize large-scale data processing workflows (e.g., Spark) for performance, cost, and reliability • Drive improvements in developer experience through better abstractions, tooling, and shared patterns • Mentor engineers and contribute to raising the team’s standards for system design, code quality, and operational excellence

We are looking for an experienced MLOps / Cloud Engineer with a strong background in building and operating cloud-based AI/ML platforms in production environments. The role focuses on designing scalable infrastructure, enabling end-to-end ML workflows, and supporting modern GenAI/LLM solutions. Start Date: ASAP Location: Remote (EU-based) Language: English Contract Type: B2B Responsibilities: - Design, build, and operate cloud-based AI/ML platforms in production environments - Develop and maintain scalable MLOps pipelines for end-to-end ML workflows - Implement and optimize CI/CD pipelines for ML and software delivery (e.g., GitHub Actions) - Manage and provision infrastructure using Infrastructure as Code (Terraform) - Deploy, manage, and optimize containerized applications using Docker and Kubernetes (EKS) - Work with AWS and Azure services, including ML services (e.g., SageMaker, Bedrock) - Implement monitoring, logging, and alerting solutions (Prometheus, Grafana, Loki, ELK) - Ensure security best practices across cloud infrastructure and CI/CD pipelines - Support model lifecycle management including model registry, performance monitoring, and data quality tracking - Collaborate with cross-functional teams to deliver robust and scalable AI/ML solutions - Analyze existing codebases and suggest improvements and refactoring where needed Requirements: - Hands-on experience with AWS and/or Azure cloud platforms - Proven experience with Kubernetes and Docker in production environments - Strong knowledge of Terraform (Infrastructure as Code) - Experience with CI/CD pipelines (e.g., GitHub Actions) - Proficiency in Python and solid understanding of software engineering principles and architecture - Experience with LLM / GenAI solutions and ML platforms (e.g., SageMaker, Bedrock) - Strong understanding of ML concepts and algorithms, with practical implementation experience - Experience with MLOps tooling and architecture (e.g., Kubeflow, model registry, monitoring) - Knowledge of monitoring and logging tools (Prometheus, Grafana, Loki, ELK) - Understanding of security best practices in cloud and DevOps environments Nice to Have: - Experience with enterprise-scale projects and environments - Familiarity with advanced Kubernetes features (e.g., operators) - Experience with performance optimization of Docker images - Exposure to tools like Dynatrace

La PAIE & RH Académie Pau 🌟, CFA spécialisé dans la Paie et les Ressources Humaines, recherche ses futurs apprenants pour intégrer le Titre Professionnel Gestionnaire de Paie en alternance 100% distanciel. 🚀 Pourquoi nous rejoindre ? 📍 Format 100% Distanciel : (exemple d'une semaine de formation) - 2 jours de e-learning pour avancer à votre rythme. - 3 jours de classe virtuelle, pour échanger en direct avec nos formateurs. - Pour la paie : Chaque module e-learning est suivi d’une classe virtuelle dédiée à vos questions et à l'approfondissement des notions. 🎓Titre RNCP de niveau 5 (Bac+2), gage de votre expertise et d’une employabilité immédiate. Taux de réussite examen 100% 📅 Début de la formation : Début 05/10/26 🧑‍🏫 Financement : Via l'alternance (apprentissage ou contrat de professionalisation) ou en Continu (Financement CPF, personnel...) ⌛Durée en Alternance : 12 mois (455h de formation) ⌛Durée en Continu : 6 mois (406h de formation) 💡 Programme certifiant : - Bloc 1 : Gestion administrative, juridique et présentation des bulletins de paie - Bloc 2 : Valorisation des événements professionnels en paie ✨ Méthodes pédagogiques : - Études de cas réels et exercices pratiques encadrés par des experts issus du terrain. - Modules e-learning suivis de sessions interactives pour répondre à toutes vos interrogations. - Accès à une plateforme numérique avec supports interactifs et outils collaboratifs. 👩‍🏫 Des formateurs experts : Nos intervenants, professionnels de la paie et des RH, vous transmettent une expertise réelle du terrain. 💬 Accompagnement humain : Notre équipe bienveillante est à vos côtés à chaque étape de votre parcours. Des RDV de mentorat individuel sont organisés régulièrement. 🎯 Vous êtes notre futur apprenant si vous avez : ✔️ Un BAC ou titre RNCP de niveau 4 (ou équivalent) – les candidats ayant une expérience professionnelle sont également bienvenus ! ✔️ Une bonne maîtrise des outils bureautiques (traitement de texte, tableur). ✔️ L'envie de vous spécialiser dans un métier d’avenir, rigoureux et passionnant. Peu importe votre localisation en France, ce format de formation 100% distanciel avec un accompagnement de proximité peut vous intéresser, postulez !

The Department of Adult Education in the Faculty of Education invites applications for a Part-time Academic Instructor for the following course: Course Number and Title: ADED 532 - Transformative Learning: Theory and Practice Course Description: This course will focus on the student’s personal and professional learning, using the theory of transformative learning, which is a key theoretical framework for understanding and interpreting learning in adults. As a conceptual lens, it allows educators to challenge the taken for granted dictums of society, education, and learning. Learners will examine the theory, from its beginnings in the late 1970s and continuing to present. Particular attention is given to the social transformation possibilities of the theory. The intention is to guide learners to discover the theory and to connect it to their educational practices. Start and End Dates: July 6 - August 14 (subject to final budgetary approval) Class Schedule: TBD Delivery Mode: Online Qualifications Candidates should have a PhD or a MAdEd with significant experience in adult education. Application Instructions To apply for this opportunity, click the "Apply Now" button and upload your cover letter, resume and references. Review of applications will begin on May 1, 2026 and continue until the position has been filled. St. Francis Xavier University is located in Mi’kma’ki, the ancestral and unceded territory of the Mi’kmaq People. Our institution is committed to upholding the values of equity, diversity, inclusion and accessibility. We encourage applications from members of groups that have been historically disadvantaged and marginalized, including Indigenous persons (especially Mi’kmaq), racialized persons (especially African Nova Scotians), persons with disabilities, those who identify as women and/or 2SLGBTQIA+ and any others who would contribute to the diversity of our community. Please note that all qualified candidates are encouraged to apply; however, applications from Canadians and permanent residents will be given priority. We are also committed to the elimination of barriers to participation for persons with disabilities. Should you require an accommodation during the recruitment process, please contact People and Culture at hr@stfx.