Top Artificial Intelligence Jobs in Barcelona

As an AI/ML Engineer at FREENOW, you will enhance AI capabilities, develop AI-driven tools, optimize existing features like chatbots and predictive models, and engage with stakeholders to translate requirements into actionable solutions.

Lead the Science team focusing on AI and machine learning to innovate solutions, mentor team members, and collaborate with tech and product leaders, enhancing sustainability impact.

In this role, you will design, develop, and operate AI features that add customer value. You'll participate in requirements analysis, propose innovative AI solutions, write clean scalable code, and mentor team members while improving performance and security of voice solutions at Aircall.

The Generative AI Engineer will develop and optimize workflows using Comfy-UI and Swarm-UI, focusing on diffusion-based models. Responsibilities include LORA training, model fine-tuning, and leveraging tools like PyTorch and Accelerate to achieve high-quality results in AI modeling.

Join Redis as a Principal Software Engineer to enhance the Vector and Search capabilities. Responsibilities include researching, designing, and implementing advanced algorithms for database systems, optimizing performance, and collaborating with teams to resolve complex issues in high-scale environments.

The AI Software Engineer will develop components of an AI software stack, optimize applications, implement mathematical operators, and validate models on new hardware platforms. The role requires collaboration and a strong desire to learn new skills.

The Product Manager, AI role is responsible for managing AI-powered products within the B2B portfolio, requiring collaboration with engineering teams to prioritize product roadmaps, monitor product usage, and drive engagement strategies. The position demands strong analytical skills, attention to detail, and expertise in AI technologies to enhance product success and customer retention.

The Product Analyst, AI role focuses on ensuring the success and quality of AI-powered B2B products. Responsibilities include defining product requirements, conducting evaluations, and monitoring product usage to increase engagement. The position requires strong collaboration with various teams and attention to detail in data analysis.