Top Artificial Intelligence Jobs in Lisbon

Design and develop AI/ML solutions, lead RAG architecture implementation, automate deployment, and perform advanced data analysis.

The AI Enablement Lead will drive AI adoption at Paddle through enablement programs, cross-functional collaboration, governance frameworks, and community building.

Develop and enhance AI solutions using Large Language Models through research, reinforcement learning, and collaboration with cross-functional teams to integrate capabilities into products.

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.

As a Risk & AI Business Analyst at Feedzai, you will gather requirements, design solutions, implement testing, and improve fraud detection for clients in financial services.

The AI Engineer will design and develop IT architecture solutions with AI and deep learning technologies, collaborate with teams, and improve AI model performance.

The AI Multimedia Designer will create AI-generated video ads and UGC-style visuals for paid channels, collaborating with strategists and buyers to enhance content performance and drive conversions.

The Senior Backend Engineer will enhance infrastructure, optimize product flows, and ensure robust systems for Speechify's AI team, focusing on voice cloning and text-to-speech technologies.

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.

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 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.

Lead a team of designers in creating AI-powered marketing and UI/UX designs, while managing projects, providing feedback, and developing processes.

The Staff ML Engineer will develop and deploy ML tools for game production, collaborate across teams, and enhance creative workflows with innovative 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.

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

The AI Video Ads Editor will create high-impact, AI-generated video ads for D2C brands, using AI tools and collaborating with teams to optimize content for conversions while monitoring performance metrics.

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 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 Data Engineering, Data Science/ML, and Analytics functions. Build and manage a modern data platform for strategic decision-making and operational efficiency.

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.