Top Tech Jobs & Startup Jobs in Dublin

Design, build, and deploy transformer-based and generative AI models into production. Develop training and inference pipelines, implement model serving and MLOps practices, collaborate with product and data teams, and troubleshoot and optimize model performance in production environments.

Lead backend engineer responsible for designing, developing, and maintaining high-performance, high-volume Java applications for global virtual commercial payments. Collaborate in agile teams to define features, build RESTful APIs, ensure SLAs, mentor engineers, and drive cloud-native, secure, scalable solutions with emphasis on quality and process improvement.

Design, build, and deploy transformer-based and generative AI models into production. Implement training pipelines, feature engineering, model serving, MLOps practices, monitoring, and collaborate with product, data, and engineering teams to ensure reliable, performant AI systems.

Design, build, and deploy transformer-based and generative AI models into production. Implement data pipelines, training workflows, model serving, and MLOps practices. Collaborate with product, data, and engineering teams, participate in code reviews, and troubleshoot model performance in production while advancing technical skills.

Design, build, and deploy transformer-based and generative AI models into production. Develop training workflows, data pipelines, model serving/inference, and MLOps practices. Collaborate with product, data, and engineering partners, perform performance tuning, and ensure model reliability, monitoring, and lifecycle management.

Lead a cross-functional agile team to design, build and maintain high-performance, high-volume Java applications for commercial virtual payments. Define features, contribute to development, ensure SLAs, provide technical training, and improve processes while leveraging cloud-native and API technologies.

Build and operate scalable CI/CD pipelines, cloud infrastructure, and runtime environments to support foundation model training, deployment, and production AI workloads. Automate releases, ensure observability, security, and high availability, support Databricks integrations, troubleshoot incidents, and promote DevOps best practices across AI and data teams.

Design, build, and deploy transformer-based and generative AI models for production; implement training and inference workflows, data pipelines, model serving, and MLOps practices; collaborate with product, data, and engineering partners and support production troubleshooting and performance tuning.

Lead development of high-performance, high-volume Java applications for virtual commercial payments. Define features, implement REST/SOAP APIs, ensure SLAs, mentor engineers, improve processes, and support cloud-native deployments.

Design, build, and deploy transformer-based and generative AI models into production. Develop data pipelines, feature engineering, training workflows, model serving, and MLOps practices. Collaborate with product and engineering teams, perform code reviews, monitor model performance, and support production troubleshooting and optimization.