En tant que Consultant.e Expérimenté.e en data platform, vous serez amené.e à jouer un rôle clé dans la conception, et la mise en œuvre de plateformes Data & AI. Vous serez au coeur de l'évolution des SI de nos clients.
Responsibilities
Participer à la conception des architectures de plateforme Data & AI cloud, hybrides ou on-premises liant solutions cloud (GCP, AWS, Azure, OVH, Blue, etc.), pure players du marché (Dataiku, Databricks, Snowflakes, etc.)
Garantir l'alignement des solutions proposées avec les principes de gouvernance, de sécurité et de performance.
Déployer des plateformes AI & Data scalables, incluant des solutions de stockage (data lakes, data warehouses, lakehouse) et des pipelines d’intégration (ETL/ELT).
Intégrer des outils modernes pour orchestrer, superviser et optimiser les flux de données.
Mettre en place des architectures orientée événement (streaming) pour répondre à des besoins en temps réel.
As a Associate Applied AI/ML Scientist within our Payment Solutions team, you will be instrumental in utilizing artificial intelligence and machine learning technologies to augment our payment solutions and stimulate business expansion.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
Responsibilities
Actively collaborate with Product, Technology, and other cross-functional teams to gain a deep understanding of complex business problems and formulate data-driven solutions to address these challenges in key areas of the payments’ domain.
Design, develop, and deploy machine learning and AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency.
Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards.
Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders.
Requirements
Bachelor's degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research)
Applied AI/ML AssociateJPMC Candidate Experience page · New York, US