Top Artificial Intelligence Jobs in Seville

Lead the development of an AI product from concept to market, defining strategy, collaborating with engineering, and recruiting a team.

The Lead AI Engineer will develop and optimize AI workflows using large language models, collaborate on project objectives, and ensure seamless integration of AI technologies across the project lifecycle.

Lead AI Engineer responsible for developing AI solutions, collaborating with teams, optimizing workflows, and implementing large language models in various projects.

The Corporate Finance AI Expert advises finance leaders on AI strategies, governance, and implementation while producing insights on finance processes and AI technologies.

As a Learning Experience Designer, you will create transformative learning experiences by integrating psychology, AI, and storytelling, crafting engaging courses, developing AI interactions, and iterating based on learner feedback.

RapidSOS seeks an AI Software Engineer to develop AI-driven solutions for emergency call centers, enhance data-driven decision making, and improve response times by integrating AI within the company's platform.

The role involves developing AI-driven solutions to enhance emergency call center efficiency, leveraging data, and collaborating with cross-functional teams.

As a Senior Fullstack Engineer, you will develop and maintain web applications, ensure UI/UX best practices, manage CI/CD pipelines, and contribute to collaborative processes, while mentoring and iterating on technical solutions.

As an AI Software Engineer, you'll integrate AI models into applications, improve workflows, and collaborate with teams to enhance automation.

As a Senior AI Motion Designer/Video Editor, you will create innovative AI-driven visual content, lead character design, and enhance storytelling using various generative tools.

The role involves developing AI solutions for financial institutions, focusing on generative AI and LLM-based applications like chatbots, document processing, and voice solutions. You'll work with AWS services to improve customer interactions and compliance.

Lead the design and integration of AI solutions in financial services, ensuring customer satisfaction and technical solution alignment while mentoring technical teams and maintaining compliance.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

As a Staff Software Engineer focused on AI, you'll integrate AI features into the logistics platform, utilizing Elixir, TypeScript, and various ML tools for real-time data processing and predictive analytics. Responsibilities include API design, building fault-tolerant systems, collaborating with data scientists, and mentoring engineers.

As Product Manager, you'll define product strategy, understand user needs, integrate AI and behavioral science, and transform growth into impactful experiences.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

As an ML Engineer, you will develop ML models, collaborate with teams, maintain model performance, and drive innovation in ML technologies.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

As an ML Engineer at Provectus, you'll create and improve ML models, collaborate on production efforts, develop experimentation roadmaps, and maintain model performance.

Provide technical support for AI inference issues, troubleshoot deployment problems, analyze logs/metrics, and enhance platform usability by collaborating with engineering.

As an ML Engineer, create and improve ML models, collaborate with teams, maintain experimentation pipelines, and stay updated with ML advancements.

The AI Engineering Leader will guide AI and machine learning project development, ensuring delivery of solutions that meet business requirements while leading a team and fostering a culture of improvement.