AI Engineer

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*pour fournir des statistiques qui nous aident à vous offrir la meilleure expérience sur note site. Vous y trouverez des renseignements sur les témoins, ou vous pouvez les désactiver si vous préférez. Toutefois, en continuant d’utiliser le site sans modifier les paramètres, vous consentez à notre utilisation de***The **AI Engineer** will join the **Group Functions AI** team, focusing on designing and shipping production-grade AI services that power Global Risk, Compliance, Procurement, and emerging GenAI solutions across the enterprise. The ideal candidate should be an advanced programmer with a strong grasp of Data Science, Data Engineering, Application Development, Software Engineering, and DevOps who has a mix of software craftsmanship, cloud-native engineering, and machine-learning know-how to turn data-science prototypes into reliable, business-critical products. **Position Responsibilities:** Stay current with advances in ML, GenAI, and DevSecOps; introduce fit-for-purpose tools and frameworks to the team. **Required Qualifications:** Proven experience operationalizing ML/GenAI models in cloud environments (Azure preferred) using Docker, Kubernetes/AKS, MLflow or Azure ML. Advanced SQL skills and proficiency with both relational (PostgreSQL, SQL Server) and NoSQL/analytic stores (CosmosDB, Delta Lake). Big-data processing using Spark/Databricks; ability to build high-throughput ETL/ELT and feature-engineering workflows. Experience deploying or fine-tuning **LLMs** and working with vector databases (Elastic, Azure Cognitive Search, Pinecone). Demonstrated ability to balance urgency with delivering high-quality, well-documented solutions. **Preferred Qualifications:** - **Bachelor’s degree** in Computer Science, Software Engineering, Data Science, Mathematics, or a related technical field (or equivalent industry experience).- **Master’s or PhD degree** in a relevant discipline is an asset and may substitute for part of the required experience. #J-18808-Ljbffr