Ingénieur en machine learning/Machine Learning Engineer, ProServe Shared Delivery Team - Data & AI
$99.9k - $166.9k per yearAmazon
Professional Services Delivery Consultant – Machine Learning Engineer
Dans ce rôle, vous travaillerez en étroite collaboration avec les clients pour concevoir, mettre en œuvre et gérer des solutions d’IA/AA et de GenAI sur AWS, répondant à leurs exigences techniques et à leurs objectifs métiers.
Key Responsibilities
- Mise en œuvre de projets IA/AA et GenIA de bout en bout : compréhension des besoins métiers, préparation des données, développement des modèles, déploiement et surveillance.
- Conception et implémentation de pipelines d’apprentissage automatique fiables, évolutifs et sécurisés.
- Architecture d’habilitations ML et MLOps via AWS, intégrant les solutions GenAI lorsque pertinent.
- Collaboration avec des équipes transverses (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) pour l’exploitation de données et de modèles.
- Conseil stratégique aux clients sur les architectures cloud et les solutions IA/AA/GenAI.
- Partage des connaissances et bonnes pratiques internes par mentorat et publication.
- Garantie de conformité aux normes de l’industrie et soutien aux stratégies IA/AA, GenAI et cloud des clients.
Qualifications
- 5+ années d’expérience en implémentation informatique ou en technologies cloud.
- Compétences design/implémentation de solutions cloud, notamment AWS (SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation).
- Certifications AWS de niveau professionnel (Solutions Architect ou DevOps Engineer) préférées.
- Expérience en automatisation et scripting (Terraform, Python) ainsi que en MLOps (MLflow, Kubeflow, Airflow, Step Functions).
- Connaissance des normes de sécurité et conformité (HIPAA, GDPR).
- Excellentes compétences communicationnelles pour expliquer des concepts techniques à divers publics.
- Expérience dans la construction de pipelines ML, incluant prétraitement, hébergement, sélection de caractéristiques, réglage de paramètres, entraînement distribué, GPU, déploiement, surveillance et réentraînement.
- Expérience en initiatives d’IA générative (LLM, Vector Stores, LangChain, Prompt Engineering) et en Infrastructure as Code (CloudFormation, CDK, Terraform), conteneurs et CI/CD.
Benefits and Compensation
Le salaire de base se situe entre 99 900 CAD et 166 900 CAD par an selon la région (Calgary, Vancouver, Toronto, Montréal). Le package total inclut de l’équité, des options d’achat d’actions, ainsi que des avantages tels que l’assurance maladie, dental, vision, plan de retraite enregistré (RRSP), plan d’épargne‑bénéfice différé (DPSP) et congés payés.
Amazon est un employeur garantissant l'égalité des chances et ne fait aucune discrimination sur la base du statut d'ancien combattant protégé, d'un handicap ou de tout autre statut protégé par la loi. Si vous avez un handicap et avez besoin de mesures d'adaptation, consultez pour plus d'informations.
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