Top Tech Jobs & Startup Jobs in Dublin

Contribute to development, testing, and deployment of transformer-based and generative AI models. Build data preparation, feature engineering, training pipelines, and model-serving solutions. Support integration into applications/APIs, monitoring, validation, and MLOps practices while collaborating with cross-functional teams and applying software engineering best practices.

Lead daily administration, monitoring, patching, and automation of enterprise load balancer platforms. Troubleshoot complex network and application traffic issues, design monitoring strategies, support multi-cloud deployments, and drive cross-team incident resolution while maintaining high availability and security.

Design, build, and deploy transformer-based and generative AI models into production. Develop data pipelines, feature engineering, training workflows, model serving, and MLOps (tracking, versioning, testing, monitoring). Collaborate with product, data, and engineering teams, perform code reviews, and troubleshoot and optimize production model performance.

Lead engineer for Mastercards commercial virtual payments platform. Develop high-performance, high-volume Java applications (Spring/Hibernate), design and maintain REST/SOAP APIs, collaborate with product and cross-functional teams, ensure SLAs, promote cloud-native solutions (Cloud Foundry/AWS), mentor engineers, and drive process and quality improvements.

Lead a distributed agile team to design, develop, and maintain high-performance, high-volume Java applications for commercial virtual payments. Define features, contribute to system development, ensure SLAs, mentor engineers, improve processes, and deliver secure, cloud-native API/Batch/UI solutions.

Build and operate scalable CI/CD pipelines, cloud infrastructure, and runtime environments to deploy and operate foundation models and data workloads. Automate deployments, ensure observability, embed security best practices, support Databricks, troubleshoot production issues, and promote DevOps/IaC practices.

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

Lead a distributed agile team to design, develop, and maintain high-performance, high-volume Java applications for commercial virtual payments. Define features with product and tech leads, deliver REST/SOAP APIs, ensure SLAs, mentor engineers, and drive process and standards improvements with cloud-native practices.

Develop, test, and deploy AI/ML solutions including transformer and generative models. Build data preparation, feature engineering, training pipelines, integrate models into production, support evaluation, monitoring, and MLOps best practices while collaborating across engineering and product teams.

Develop, evaluate, and operationalize transformer-based and generative AI models. Build data preparation, feature engineering, training pipelines, and model-serving solutions. Integrate models into applications, support testing, validation, monitoring, and follow MLOps and software engineering best practices while collaborating with cross-functional teams.