Top Artificial Intelligence Jobs in Valencia

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.

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.

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

The role involves architecting and training production models, focusing on encoding/decoding, efficiency, multitask training, and emerging strategies.

The Machine Learning Engineer will develop, deliver, and operate AI-driven components for vehicle claims using computer vision and scalable ML pipelines on GCP, deploying services and ensuring performance optimization.

The Senior Solutions Architect will work on deploying and optimizing AI workloads on GPU clusters, troubleshoot performance issues, and assist customers with advanced AI training solutions.

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

The Director Analyst will create valuable research for clients in cybersecurity, analyze market trends, and support sales efforts with insights and presentations.

As a Solutions Architect, you will drive innovation for NVIDIA customers by providing expertise in Generative AI post-training, especially utilizing LLMs and data processing techniques. Responsibilities include building proof-of-concepts, collaborating with various teams to integrate NVIDIA technology, and guiding customers on tools and methodologies for model alignment and training.

The Senior Backend Engineer role focuses on backend development for Speechify's AI team, optimizing infrastructure and building resilient systems for text-to-speech applications.

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 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.

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.

The AI Content Strategist will develop course content, utilize AI tools to create learning materials, and ensure quality for education in product management.

The role involves leading system design, ensuring technical excellence, mentoring team members, and collaborating with multiple teams to drive impactful AI solutions.

The AI Enablement Partner will design, develop, and implement AI systems, integrate solutions, and teach teams to scale AI workflows, playing a key role in Jimdo's AI transformation.

As a Gartner Analyst, you'll advise on AI software innovations, conduct research, support sales, and deliver presentations to clients. You'll lead teams building AI-enabled tools and share actionable insights through various communication channels.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

Oversee ML projects, manage a team, design LLMs, implement AWS solutions, and ensure best practices in ML lifecycle and team development.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

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.