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Architecte AI

3 months ago


Montreal, Canada Astek Full time

Le Groupe Astek


Créé en France en 1988, Astek est un acteur mondial de l’ingénierie et du conseil en technologies. Fort de son expertise dans de nombreux secteurs industriels et tertiaires, Astek accompagne ses clients internationaux dans le déploiement intelligent de leurs produits et de leurs services, et dans la mise en œuvre de leur transformation digitale.


Depuis sa création, le Groupe a fondé son développement sur une forte culture d’entrepreneuriat et d’innovation, et sur l’accompagnement et la montée en compétence de ses 7800 collaborateurs qui s’engagent chaque jour à promouvoir la complémentarité entre les technologies numériques et l’ingénierie des systèmes complexes.


Au Canada, la firme se spécialise en service conseil TI et en ingénierie. Nos équipes pilotent avec succès les stratégies de développement de nos clients. Autour de valeurs communes, nous avons gagné leur confiance et répondons à leurs enjeux d’entreprise en mettant leurs besoins au centre de nos actions et priorités.


Cet écosystème d'expertises permet à Astek Canada de s’adapter rapidement à l’évolution des technologies, et tous les collaborateurs participent de manière collaborative à leur développement.


Tu es prêt à relever un nouveau défi, donner un boost à ta carrière et participer à des projets innovants et stimulants ?


Rejoins un Groupe en fort développement au Canada et à travers le monde ayant réalisé un chiffre d’affaires de 600 M€ en 2023.




Ce que nous allons accomplir ensemble :


Analyser, concevoir, documenter et diriger la production de livrables d'architecture (ex : plans cibles, analyse des écarts, choix technologiques, dossiers de décisions de gouvernance, etc.) et collaborer avec diverses équipes techniques et commerciales, avec pour objectif principal de soutenir la mise en œuvre d'une plateforme de développement de produits d'IA en libre-service et à la demande, afin de mieux servir les communautés de scientifiques des données et de développeurs au sein de notre organisation.


Ton stack de jeu


• Les plateformes AI/ML-Ops (ex: ML-flow, Airflow, Triton).

• AWS: Containers (ECS), Serverless (Lambda, S3, DynamoDB, API Gateway, Step Function).

• Amazon SageMaker and/or Databricks.

• CI/CD (Gitlab, Github Action).

• Les concepts Terraform and IaC.

• Container management platforms (ex: OKE/K8s).


Ton profil :


• Connaissance et expérience appliquée à la mise en œuvre de divers paradigmes DevOps (ex : DataOps, DevSecOps, MLOps, etc.).

• Solides compétences en matière de documentation, de communication et de collaboration.

• Excellente capacité à expliquer des idées complexes et techniques à diverses parties prenantes.

• Excellente compréhension des concepts d'apprentissage automatique et d'intelligence artificielle.

• Connaissance et expérience de l'utilisation et du déploiement de passerelles API.

• Un diplôme en technologie de l'information/ingénierie logicielle ou toute combinaison équivalente de formation et d'expérience.

• Expérience de l'utilisation d'un cadre ou d'une méthodologie d'architecture tel que TOGAF (un atout)

• Bilinguisme requis.

• AWS Certified Architect Associate (requis), Professional (un atout).

• AWS Certified DevOps Professional (un atout).

• AWS Machine Learning Specialty (un atout).

• Databricks Data Engineer or ML Specialist certification (un atout).