Top Tech Jobs & Startup Jobs in Dublin

Lead design, development, and deployment of scalable AI/ML solutions. Translate stakeholder needs into models, oversee data preparation, mentor engineers, deliver production systems, and conduct performance reviews.

Lead development and deployment of scalable AI/ML solutions; architect models and data pipelines; mentor engineers and data scientists; translate stakeholder needs to technical designs; ensure model performance, integration, and post-implementation reviews.

Lead AI initiatives: architect and deploy scalable ML systems, translate stakeholder needs into AI solutions, oversee data integration and model performance, deliver AI-driven insights, and mentor engineers and data scientists.

The Lead AI Engineer will develop advanced AI solutions, mentor a team, and oversee machine learning initiatives, ensuring data readiness and translating stakeholder needs into AI-driven solutions.

Lead end-to-end design and delivery of full-stack solutions: architect React-based UIs and Java/Spring microservices, define APIs and integrations, set CI/CD/observability/security standards, mentor engineers, ensure production readiness, and drive engineering quality, scalability, and reliability across teams.

Lead design and delivery of full-stack, high-volume solutions (Java Spring Boot backend + React frontend). Drive architecture, API contracts, microservices, CI/CD, observability, security, and operational excellence. Mentor engineers, manage cross-team dependencies, and improve engineering quality, performance, and production readiness.

Lead development and deployment of scalable AI/ML solutions, translate stakeholder needs into technical designs, oversee data preparation and model performance, mentor engineers, and deliver productionized models including advanced transformer and generative AI applications.

Lead and grow software development teams building Mastercard Fraud Platform capabilities. Own solution delivery across full lifecycle in Agile, prioritize with product owners, coach staff, ensure operational excellence, and drive continuous improvement.

Lead engineering teams to build and operate cloud-native API platforms exposing foundation model capabilities. Own architecture, security, reliability, CI/CD, observability, and integrations with AI teams while managing delivery, hiring, and technical standards.

Lead an AI engineering team to develop, fine-tune, and deploy transformer-based and generative models for high-impact use cases. Translate models into scalable production solutions, partner with product and data teams, embed responsible AI practices, and ensure robust evaluation, performance optimization, and delivery oversight.