Ingénieur IA / AI Software Engineer
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- Montreal, QC
- Permanent
- Full-time
- Digitad (Performance & Technologie): Marketing numérique (SEO, SEM, Publicité Sociale etc) et développement de site web & plateformes e-commerce
- La Fusée (Formation): Formations de marketing numérique et IA (formations individuelles et privées, etc)
- Genia (Productivité): Accompagnement des entreprises petites et grandes dans leur transition IA (évaluation IA, implémentation des outils, conduite du changement)
- Concevoir, développer et superviser l’architecture technique des solutions IA et BI (workflows, agents, pipelines) pour répondre aux besoins d’affaires de nos clients.
- Développer et maintenir des bases de données et des pipelines de données, en assurant leur intégrité, performance et évolutivité.
- Collaborer avec les équipes pour optimiser la gestion des données, le déploiement des modèles et garantir la robustesse des solutions dans les environnements clients.
- Exploiter les services cloud (préférence pour Azure) pour créer une infrastructure de données sécurisée, évolutive et rentable.
- Mettre en œuvre des solutions de gestion des données avec SQL et Python, en utilisant pandas pour la manipulation et la transformation des données.
- Concevoir et développer des applications web en lien avec les workflows de données et d’IA.
- Définir et appliquer les bonnes pratiques d’ingénierie pour garantir la qualité et la fiabilité des déploiements.
- Effectuer une veille technologique pour recommander des améliorations continues et favoriser l’innovation.
- Plateformes Cloud (Azure, GCP ou AWS) pour la gestion d’infrastructures et de services IA. Azure un atout
- Langages de programmation (Python, SQL) et frameworks associés (pandas, libraries ML).
- Outils de CI/CD (GitLab, GitHub Actions ou équivalent) pour automatiser les déploiements.
- Solide expérience (3 ans minimum) en conception et déploiement de solutions et agent IA.
- Maîtrise de la gestion de projets techniques (pilotage, planification, suivi).
- Expérience managériale (encadrement d’équipes, mentorat, leadership).
- Connaissances approfondies en ingénierie logicielle (architecture, bonnes pratiques, DevOps).
- Familiarité avec les concepts et outils d’IA (modélisation, MLOps, intégration de modèles).
- Bililngue français/anglais
- Leadership naturel et sens de l’ownership pour piloter les initiatives stratégiques.
- Communication claire et capacité à vulgariser des sujets techniques.
- Esprit d’équipe
- Adaptabilité et pragmatisme dans la résolution de problèmes.
- Curiosité technologique et envie de tester de nouvelles approches.
- Digitad (Performance & Technology): Digital marketing (SEO, SEM, Social Media Advertising, etc.), website development, and e-commerce platforms.
- La Fusée (Training): Training in digital marketing and AI (individual and private sessions, etc.).
- Genia (Productivity): Supporting businesses of all sizes in their AI transition (AI assessment, tool implementation, change management).
- Design, develop, and oversee the technical architecture of AI and BI solutions (workflows, agents, pipelines) to meet our clients’ business needs.
- Develop and maintain databases and data pipelines, ensuring their integrity, performance, and scalability.
- Collaborate with teams to optimize data management, model deployment, and ensure the robustness of solutions within client environments.
- Leverage cloud services (preferably Azure) to create secure, scalable, and cost-effective data infrastructure.
- Implement data management solutions using SQL and Python, with a focus on pandas for data manipulation and transformation.
- Design and develop web applications linked to data and AI workflows.
- Define and enforce best engineering practices to ensure the quality and reliability of deployments.
- Conduct technology watch to recommend continuous improvements and foster innovation.
- Cloud Platforms: Proficiency in Azure, GCP, or AWS for managing infrastructures and AI services.
- Programming Languages: Strong skills in Python and SQL, along with associated frameworks like pandas and ML libraries.
- CI/CD Tools: Experience with tools such as GitLab, GitHub Actions, or equivalents for deployment automation.
- Additional asset: Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Extensive Experience: Minimum 3 years in designing and deploying AI solutions and AI agents.
- Technical Project Management: Proficiency in leading, planning, and monitoring technical projects.
- Advanced Knowledge of Software Engineering: Expertise in architecture, best practices, and DevOps methodologies.
- Familiarity with AI Concepts and Tools: Strong understanding of AI modeling, MLOps, and model integration.
- Natural Leadership and Ownership: Ability to drive strategic initiatives with confidence and responsibility.
- Clear Communication: Skill in explaining technical topics in an accessible and understandable way.
- Team Spirit: Strong collaboration skills to work effectively with others.
- Adaptability and Pragmatism: A practical approach to problem-solving in dynamic environments.
- Technological Curiosity: Eagerness to explore and experiment with new approaches and tools.
- Growth Opportunities: Access to continuous training and the chance to work alongside recognized experts in the field.
- Vacation Policy: 3 weeks of paid vacation in the first year, 4 weeks in the second year, and 5 weeks starting from the third year of employment.
- 4.5-Day Work Week: Offices close on Friday afternoons.
- Flexible Working Hours: Adapt your schedule to your needs.
- Remote Work Abroad: 9 weeks of remote work from abroad each year.
- Volunteer Day: One day per year to engage in meaningful volunteer activities.
- Group Insurance: Available after 3 months of employment.
- Team Events: Numerous team activities throughout the year, such as potlucks, parties, and 5@7
- Pet Days: Bring your pet to the office twice a week (or meet your colleagues' furry friends).
- Annual Offsite Retreat: Enjoy a yearly team retreat at a chalet.
- Trainer Opportunity: Become a Trainer at La Fusée training center.