Top Artificial Intelligence Jobs in Madrid

As a Senior/Lead Data & MLOps Engineer, you will own the backend of the workflow mapping product, developing pipelines, and core components of ML systems. Responsibilities include writing algorithms, building data and ML training pipelines, collaborating with data scientists, optimizing model performance, and mentoring new team members.

The AI Senior Specialist Solution Architect will focus on providing sales support for Red Hat OpenShift AI. Responsibilities include removing technical blockers for AI adoption, conducting workshops, and collaborating with engineering teams. The role requires experience in machine learning, AI systems design, and delivering technical presentations to stakeholders.

As a Data & AI Video Content Developer at DataCamp, you'll create engaging educational video content focused on data and AI for social media. Responsibilities include content prioritization, production, and post-production, collaborating with marketing and SEO teams to deliver high-quality materials. Strong communication and organizational skills are key, alongside a passion for data education.

The Data & AI Project Manager at Fever will lead data-driven projects from conception to completion, ensuring alignment with organizational goals. Responsibilities include strategic planning, stakeholder communication, and overseeing project execution with cross-functional teams, focusing on enhancing the user experience and operational efficiency.

The position involves lending coding expertise to train AI models by crafting questions related to computer science and evaluating AI-generated code. It is a freelance role allowing for flexible hours, with a focus on improving AI's coding abilities without requiring prior AI experience.

The Staff Machine Learning Engineer will lead the design and development of Generative AI solutions for Firefox, focusing on training and integrating AI models, as well as optimizing their performance. This role also involves collaborating with cross-functional teams and ensuring the reliability of the models through robust validation procedures.

In this role, you will design, develop, and operate AI features that add customer value. You'll participate in requirements analysis, propose innovative AI solutions, write clean scalable code, and mentor team members while improving performance and security of voice solutions at Aircall.

The Generative AI Engineer will develop and optimize workflows using Comfy-UI and Swarm-UI, focusing on diffusion-based models. Responsibilities include LORA training, model fine-tuning, and leveraging tools like PyTorch and Accelerate to achieve high-quality results in AI modeling.

Join Redis as a Principal Software Engineer to enhance the Vector and Search capabilities. Responsibilities include researching, designing, and implementing advanced algorithms for database systems, optimizing performance, and collaborating with teams to resolve complex issues in high-scale environments.

The AI Software Engineer will develop components of an AI software stack, optimize applications, implement mathematical operators, and validate models on new hardware platforms. The role requires collaboration and a strong desire to learn new skills.

As a Senior Data and AI Engineer, you will lead AI strategy, design data pipelines, and deploy AI models using cloud infrastructure while collaborating with teams to integrate AI solutions, ensuring responsible innovation.

The Senior AI Engineer will design, develop, and deploy AI models for conversational applications, collaborate with product and design teams, and integrate APIs using frameworks like FastAPI, Django, or Flask. The role requires mentoring junior engineers and keeping up with AI trends to enhance product functionality.

As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.