Top Artificial Intelligence Jobs in Valencia

Lead product ideation, prioritize features, collaborate with developers, apply market analysis, and manage stakeholders for an AI product.

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 a Senior DevOps/ML Infrastructure Engineer, you'll manage infrastructure, support ML model integration, and build automated MLOps pipelines in a collaborative setting.

The role requires a Senior Full-Stack Software Engineer skilled in TypeScript and React, adapting to dynamic environments and collaborating cross-functionally in AI-powered projects.

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.

Lead the development of scalable Python applications and chatbot solutions leveraging generative AI, guiding a team and optimizing performance.

Lead revenue growth in the Media & Telco vertical by securing new enterprise clients and expanding existing accounts through AI and agentic solutions. Develop sales strategies and collaborate across functions to optimize performance and influence product development.

Design, develop, and implement machine learning solutions, optimizing performance and using AWS services and Docker for deployment. Collaborate with teams to drive AI/ML excellence.

Lead AI strategy and R&D at Fortis Games, driving adoption and integration of AI across business areas for measurable impact.

The Senior AI Engineer will lead AI strategy, develop Large Language Models and data pipelines, and integrate AI into products while fostering innovation.

Design and develop AI-driven systems and tools that enhance software engineering workflows and knowledge management within the organization.

The AI-Native Engineer will design intelligent systems for an AI-native ecosystem, streamline workflows, and collaborate on innovative solutions in software engineering.

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.

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

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.

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

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

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

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Lead AI initiatives for Data Intelligence product, managing the product lifecycle and collaborating across teams to deliver AI solutions.

As a Chatdesk Expert, you'll provide customer support through social media and email, ensuring great experiences, flexible schedules, and work from anywhere.

Lead a team to develop large-scale AI systems, focusing on Generative AI and LLM initiatives, while managing projects from inception to delivery.

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.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.