Top Tech Jobs & Startup Jobs in Dublin

Develop, evaluate, and deploy transformer-based and generative AI models and pipelines. Build data preparation, feature engineering, training, inference, and model-serving components, apply MLOps and software engineering best practices, integrate models into applications/APIs, monitor performance, and collaborate across cross-functional teams.

Build, test, and deploy AI/ML solutions including transformer-based and generative models. Support data preparation, feature engineering, model training, evaluation, serving, monitoring, and integration into applications and APIs. Apply software engineering and MLOps best practices, collaborate across teams, troubleshoot performance and data issues, and contribute to production-ready, scalable AI capabilities.

Lead daily administration, monitoring, patching and troubleshooting of enterprise load balancers to ensure high availability. Design and implement load balancer and monitoring strategies, automate deployments, collaborate with engineering teams, and provide training. Diagnose complex network and application traffic issues and contribute to platform strategy and stability.

Design, build, and deploy transformer-based and generative AI models into production. Implement training pipelines, feature engineering, model serving, MLOps practices, monitoring, and integration with downstream APIs. Collaborate with product, data, and engineering teams to translate requirements and troubleshoot production model performance.

Build and operate scalable CI/CD pipelines, cloud infrastructure, and runtime environments to deploy and run foundation-model and data workloads. Automate deployments, manage AWS-based infrastructure, support Databricks workflows, implement observability and security best practices, troubleshoot production incidents, and collaborate with AI, data, and software teams to ensure reliable, secure AI model delivery.

Design, develop, and deploy transformer-based and generative AI models into production. Build data pipelines, feature engineering, and training workflows. Implement model serving, inference, monitoring, and MLOps practices. Collaborate with product, data, and engineering teams, participate in code reviews, troubleshoot production model performance, and continuously improve ML engineering practices.

Build and operate cloud infrastructure and CI/CD pipelines for foundation-model and data workloads. Automate deployments, manage AWS-based environments, support model inference and batch jobs, implement observability and security best practices, and collaborate with AI/data teams on production readiness and incident response.

Lead and manage a software engineering team building real-time decisioning systems using streaming analytics, business rules/AI engines, in-memory data grids, APIs and UIs. Balance people management with hands-on coding, align with architects, deliver roadmap priorities, and enforce best practices for scalable, secure code.

Lead and manage a software engineering team on the Decision Management program, delivering real-time decisioning services. Provide hands-on technical leadership, roadmap alignment with business priorities, enforce architecture and development best practices, and ensure maintainable, testable, scalable, and secure code.

Lead and manage a software engineering team for the Decision Management program. Hands-on coding in Java/Spring, align with architects, deliver streaming analytics and in-memory grid solutions, build maintainable, testable, secure high-performance applications, manage roadmaps and team performance, and collaborate with business to deliver value.