Top Artificial Intelligence Jobs in Madrid

Develop and maintain scalable backend services for generative AI applications, focusing on Python and AWS integration, while collaborating with teams.

The AI Backend Python Engineer will design and develop backend systems for generative AI applications, overseeing API delivery and AWS infrastructure while mentoring junior engineers.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

The Senior Director Analyst will provide insights for CIOs in financial services, focusing on risk strategy, technology trends, and best practices.

As Lead AI Architect, you will design AI foundations for automation-focused products, oversee multi-agent systems, and lead technical direction for scalable AI architectures.

As Head of Data Engineering, you'll lead the design and implementation of a reliable data platform, managing a team and ensuring data quality while integrating with AI and product teams.

Join Welo Data to evaluate German language data for AI models, focusing on search results and machine translation quality. Remote work with flexible scheduling.

Join Welo Data to assist in AI projects, contributing to language data quality through annotation and evaluation while working remotely.

Join Welo Data to help enhance AI through annotation, evaluation, and prompt creation with a focus on language data. Flexible remote work.

As a Staff Backend Engineer, you'll build Python web services, lead technical projects, and mentor engineers while driving AI integration and system performance optimization.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

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.

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

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

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.

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.

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

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.

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

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.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

The Analyst will provide insights to CFO clients on finance technology strategies, cloud ERP transformations, and vendor evaluations. They will publish research, advise clients, and deliver high-quality presentations, requiring extensive experience in finance and technology.