Top Artificial Intelligence Jobs in Barcelona

Lead AI strategy and execution at Pigment, mentor a team in AI and data science, and drive AI integration across the organization.

The Senior Infrastructure Engineer will deploy, scale, and maintain services for the ML/AI team, collaborating closely with ML Engineers and Data Scientists.

The AI Enablement & Knowledge Management Specialist will structure internal knowledge systems, collaborate on AI agents, and improve documentation processes to enhance operational efficiency across teams.

Lead the development of AI-driven products, manage cross-functional teams, define product roadmaps, and ensure user-centered design while exploring innovative AI solutions.

The Senior Software Engineer will develop scalable services for AI-powered authentication, collaborate with teams, and ensure service reliability and performance.

Oversee ML team and projects focused on LLMs; design and optimize models on AWS, ensure performance and compliance, facilitate team growth.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

WunderGraph seeks a Staff FullStack AI Engineer to lead architecture for AI-driven projects, mentoring engineers and ensuring scalable, secure systems. Responsibilities include backend and frontend development with a focus on AI workflows and enterprise readiness.

The Senior Product Manager will lead AI-driven initiatives, manage product roadmaps, and drive innovation in digital asset management, focusing on customer needs and market differentiation.

Develop and maintain ML/AI services and APIs, improve existing systems, mentor team members, and ensure production-grade solutions are efficient and scalable.

The Sales Executive AI will sell an AI-powered healthcare platform, manage client relationships, conduct needs assessments, and close sales.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

The Machine Learning Engineer will architect and develop an AI platform for scientific workflows, integrating autonomous agents, and collaborating with cross-functional teams on ML/AI systems.

Research and implement physics-informed AI algorithms and workflows, supervise teams, publish research, and collaborate for Autodesk's design and engineering tools.

The Senior Analytics Engineer leads BI development, integrates AI/ML tools, optimizes analytics workflows, and mentors junior engineers, focusing on AI-driven insights.

The AI/ML Engineer will develop and maintain AI algorithms, create data pipelines, collaborate on product features, and ensure a high-quality customer experience.

Develop and integrate AI services, optimize Python-based APIs, ensure AI system performance, and collaborate on technical architecture in a dynamic environment.

The Staff Product Manager will lead the AI-powered Managed Detection and Response (MDR) offering, driving product strategy, development, and stakeholder engagement while leveraging market insights to enhance product performance.

As a Senior AI Engineer, you'll develop and deploy machine learning models, collaborate across teams, and create scalable solutions for Qonto's user experience.

The role involves developing and maintaining AI solutions, building data pipelines, and collaborating with stakeholders to integrate ML models into business workflows.

As a Sr. Product Manager, you will lead the development of AI-powered pricing tools, collaborating with data scientists and engineers while focusing on customer needs and data-driven decisions.

The Kubernetes DevOps Engineer will design, implement, and support Kubernetes integrations for AI workloads, build automation pipelines, and collaborate with engineering teams.

The role involves architecting and designing scalable AI systems for payment processing, collaborating with cross-functional teams, and integrating innovative AI technologies.

As an AI Research Engineer, you'll design and implement systems coordinating large language models with real-world tasks, creating novel prompting strategies and production-ready systems in TypeScript while collaborating with various teams.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.