Top Tech Jobs & Startup Jobs in Dublin

Build, deploy, and operate production-grade AI and agentic systems. Implement model serving, monitoring, evaluation, and retraining pipelines. Partner with data scientists to productionize models, contribute to feature engineering and data preparation, participate in design reviews, and ensure performance, reliability, security, and governance across AI solutions.

Build, productionize and operate AI and agentic systems across the full lifecycle. Implement model serving, monitoring, evaluation, and retraining; develop ML services, pipelines and APIs; collaborate with data scientists, platform, security and infrastructure teams to deliver secure, scalable production AI solutions.

Build, deploy, and operate production-grade AI and agentic systems. Implement model serving, monitoring, evaluation, and retraining. Partner with data scientists to productionise models, contribute to data preparation and feature engineering, and ensure solutions meet performance, reliability, security, and governance standards.

Senior individual contributor building and operating production-grade AI and agentic systems. Responsibilities include designing, deploying, and monitoring ML services, pipelines and APIs; productionising models with data scientists; ensuring reliability, security, and governance; and collaborating with platform, security, and infrastructure teams.

Build, deploy, and operate production-grade AI and agentic systems. Implement model serving, monitoring, evaluation and retraining. Partner with data scientists to productionize models, contribute to data preparation and feature engineering, and ensure solutions meet performance, security and governance standards while collaborating across platform and infrastructure teams.

Build, deploy, and operate production-grade AI and agentic systems. Develop ML services, pipelines, model serving, monitoring, evaluation, and retraining. Partner with data scientists to productionize models, contribute to data preparation and feature engineering, participate in technical design reviews, and ensure solutions meet performance, security, reliability, and governance standards.

Build, deploy, and operate production-grade AI and agentic systems. Implement model serving, monitoring, evaluation, and retraining pipelines; partner with data scientists to productionize models; contribute to data preparation and feature engineering; ensure performance, reliability, security, and governance; and collaborate across platform, security, and infrastructure teams.

Build, deploy, and operate production-grade AI and agentic systems. Implement model serving, monitoring, evaluation, retraining, pipelines and APIs. Partner with data scientists to productionize models, contribute to data preparation and feature engineering, participate in design reviews, and ensure solutions meet security, reliability, and governance standards.

Build and operate production-grade AI and agentic systems across the full lifecycle: design, model serving, pipelines, monitoring, retraining, and APIs. Partner with data scientists and platform teams to productionize models, ensure security, reliability, and governance, and participate in design reviews and knowledge sharing.

Design, build, and deploy production AI solutions including transformer-based and generative models. Build data pipelines, training workflows, model serving and inference, apply MLOps practices, collaborate with product and engineering teams, and monitor and tune models in production.