Top Artificial Intelligence Jobs in Valencia

As a Senior AI Scientist, design and implement AI systems, optimize language models, lead experiments, and mentor team members to enhance AI capabilities.

Lead business development in Life Sciences, drive client acquisition, and develop AI & Data strategies. Mentor teams and foster collaborations across departments.

Lead end-to-end delivery of iGaming features, coordinating Product, Development, QA, and Marketing. Manage timelines, resources, risks, third-party integrations, stakeholder communication, and continuous improvement through post-mortems to ensure timely, high-quality releases.

Lead strategy, production, and commercial performance for owned casino games. Own roadmap, vendor management, end-to-end production, RTP/volatility strategy, live operations, and post-launch performance.

Design, experiment with, and help productionize enterprise AI workflows. Build evaluation frameworks, fine-tune small/medium LMs (PEFT, SFT, distillation), run experiments, perform error analysis, and collaborate with engineering teams to deploy and monitor reliable, cost- and latency-aware AI systems.

Design, experiment with, and productionize end-to-end enterprise AI workflows. Lead evaluation and optimization of small/medium language models, implement experimentation frameworks, and partner with engineering for deployment, monitoring, and lifecycle management. Mentor junior scientists and influence roadmap through evidence-backed recommendations.

The role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

Manage and grow AI influencer brands by refining identities, optimizing content strategies, and driving performance across social platforms, focusing on audience connection and engagement.

Lead AI & Commerce Foundations for a B2B e-commerce platform: define AI strategy, own core platform architecture (auth, APIs, payments), integrate LLM capabilities, prioritize partner-facing features, run zero-to-one product development, and coordinate engineers, data scientists, and partner success to ship and iterate on AI-driven partner solutions.

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.

The Senior Product Marketing Manager, AI will lead product marketing for AI capabilities at Circle, focusing on messaging, adoption strategies, and customer education.

The Chief Data & AI Officer will lead the establishment of a company's data and AI infrastructure, ensuring reliable information capture, decision-making processes, AI system integration, and compliance with governance standards.

Define product vision and roadmap for voice and chat AI agents; design conversational UX and flows; coordinate engineering for triggers and automations; track KPIs (resolution, latency, sentiment) and lead prompt-tuning and performance evaluations.

Lead the development of AI perception systems, design models for real-time localization and multimodal fusion, and collaborate with engineering teams.

Lead the testing and validation of AI-driven perception and robotics systems. Design frameworks, evaluate algorithms, and ensure safe deployment of robotic technologies.

The AI Engineer will design and implement AI/ML pipelines, work on GenAI applications, and improve telecom network operations through intelligent automation and predictive insights.

Lead the development of high-fidelity simulations and validation workflows for robotic systems, focusing on sensor simulation and mechanical modeling to ensure reliable performance in real-world and virtual environments.

Lead the development of AI/ML systems for real-time applications, mentor teams, optimize performance, and contribute to the AI/ML community.

As a Senior AI/ML Applications Engineer, you'll develop and integrate AI tools for IC design and verification, supporting engineers with advanced methodologies and automation scripts.

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

The Senior Director Analyst leads AI business strategy, advises clients on AI adoption, and produces thought-provoking content and research insights to drive business outcomes for technology leaders.

Lead AI strategy and roadmap for Observability, embedding LLMs, RAG, vector search, and ML into log analytics, incident investigation, and SRE workflows. Partner with engineering, UX, sales, and customers to deliver AI-driven features, validate solutions, and drive adoption.

Design and implement computer vision and machine learning algorithms from POC to prototype, build training pipelines and testing, run experiments, document results, lead research, and assist recruiting.

The Product Manager will own the CRM & Retention module of a casino platform, focusing on player lifecycle management, AI-driven automation, and performance metrics to drive commercial success.

As a Senior AI Engineer at eduki, you will develop AI systems for business automation, integrate them with internal tools, establish data protocols, and support product teams in creating AI-driven features.