Top AI Jobs in Dublin

Outlier seeks experienced software engineers to assist in training AI models by providing coding expertise. Responsibilities include crafting computer science questions and evaluating AI-generated code. This freelance role offers flexible hours and requires no prior AI experience.

As a Senior Backend and AI Engineer at Aircall, you will design and implement AI features and contribute to the development of business-critical services using a variety of back-end technologies. Your role includes mentoring teammates, engaging in requirements analysis, and optimizing product performance, all while ensuring quality and security in solutions deployed on AWS.

As a Principal Software Engineer on the AI team at Redis, you will research, design, and implement advanced algorithms for Redis vector search. This role involves optimizing algorithms, troubleshooting real-world issues, and collaborating with various teams on large-scale projects in database and high-performance distributed systems.

Outlier seeks talented coders to assist in training AI models through crafting computer science questions and evaluating AI-generated code. This remote freelance role offers flexible hours and requires proficiency in specific programming languages and the ability to communicate in Simplified Chinese.

Outlier is looking for software engineers to train AI large language models by crafting and answering programming-related questions and evaluating AI-generated code. This is a flexible remote freelance opportunity.

The role involves using coding expertise to train AI models by crafting and answering computer science questions, and evaluating code generated by AI. The position is remote and offers flexible hours.

Outlier seeks experienced software engineers to train AI models by crafting and answering computer science questions and evaluating AI-generated code. This freelance role is flexible and remote, ideal for those with expertise in various programming languages and fluent in Korean.

Outlier is seeking software engineers to assist in training AI models by generating and evaluating coding questions. The role involves working remotely and offers flexible hours, with a focus on coding expertise and the ability to communicate concepts in Traditional Chinese.

The AI Software Engineer will develop components for an AI software stack, port AI applications to new hardware platforms, tune AI applications, implement mathematical operators, and validate AI models. The role requires strong problem-solving abilities and collaboration skills.

The Senior Data and AI Engineer will implement AI strategies, develop Large Language Models, manage data pipelines, deploy AI solutions on cloud infrastructure, and work with cross-functional teams to integrate AI capabilities while ensuring data integrity and quality.

The Senior AI Engineer will design, develop, and deploy AI models for conversational applications utilizing Large Language Models. Responsibilities include API development, collaboration with cross-functional teams, continuous evaluation of AI systems, and mentoring junior engineers while staying updated with AI trends.

As a Presales AI/ML Engineer at Neptune, you will present product capabilities to AI research teams worldwide, lead technical discussions, conduct demos, guide integrations, and maintain relationships with technical stakeholders to enhance product adoption.

As an AI Engineer at Proofpoint, you will shape and execute the Large Language Model strategy, mentor junior engineers, and enhance AI features across various business units. You'll collaborate with fellow engineers to deploy models, manage multiple projects, and communicate technical results to stakeholders.

As a Senior AI Engineer, you will shape the Large Language Model strategy, mentor junior team members, develop AI features, and collaborate on model deployment. Responsibilities include presenting results to stakeholders and managing technical projects.

As a Staff AI Engineer at Proofpoint, you will mentor junior engineers, shape the organization's LLM strategy, collaborate with teams to implement AI features, and present results to stakeholders. Your role requires deep knowledge of machine learning algorithms and experience in deploying models in production environments.