Top Artificial Intelligence Jobs in Lisbon

Lead product management for communications and AI tools, managing cross-functional teams to enhance customer engagement and streamline operations.

The Product Engineer will build internal tools and applications using AI and automation to enhance productivity at Kota, working cross-functionally.

As a Product Manager for AI, you will design AI-powered analytics tools, collaborate with cross-functional teams, and drive product roadmaps based on customer and market insights.

The Machine Learning Engineer will architect and develop an AI platform for scientific workflows, integrating autonomous agents, and collaborating with cross-functional teams on ML/AI systems.

The role involves managing the marketing tech stack, deploying AI solutions, optimizing processes, and driving growth through data-driven insights across campaigns.

Lead and manage a team of engineers while overseeing the development of ML solutions focused on LLMs and AWS. Drive project roadmaps, implement MLOps practices, and communicate with senior leadership.

As an AI Engineer, you will enhance and maintain classification systems, develop new AI features, collaborate across teams, and ensure system reliability.

Design and implement services for a GPU inference platform, focusing on performance, scalability, and API development for AI models.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

The Senior Python Engineer will develop and deploy AI systems, optimize LLM performance, and collaborate with teams to deliver impactful solutions.

Lead design and implementation of complex open-source AI solutions, provide technical guidance, engage with clients, and contribute to open-source communities.

As a Fullstack Engineer, you will build AI-driven features, focusing on frontend development while also contributing to backend services and collaborating with cross-functional teams to enhance user experiences.

The Senior Software Engineer will design and build AI coding tools, optimize codebases, and drive engineering best practices while shaping team culture.

As an AI Engineer at Convergent AI, you will build adaptive learning systems, design architectures, and optimize real-time media interactions for effective training simulations.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

The role involves designing AI solutions for clients, building relationships, delivering presentations, and collaborating with engineering teams.

The Data Scientist will lead complex data science projects, design analytical solutions using AI, and effectively communicate data-driven insights to stakeholders.

As a Mid-Level AI/ML Engineer, you will design and optimize machine learning models, implement data pipelines, and collaborate with teams to deploy ML features.

As a Senior AI Character Creator, you will train and test AI-generated characters, assist in character development, and ensure content remains fresh and engaging.

The Account Executive drives new business by selling AI solutions, manages client relationships, conducts consultations, and collaborates with teams for successful delivery.

Lead a new team focused on AI-powered document generation, drive technical vision, and foster a strong team culture while managing and scaling the initiative.

The Conversational AI Developer will design, implement, and maintain Java-based AI solutions for Drive-Thru systems, focusing on performance and customer interaction improvements.

Develop bioinformatics tools for drug discovery, manage multimodal data, implement algorithms, collaborate with teams, and present findings.

Join Welo Data's global contributor network for flexible remote projects involving AI data annotation, evaluation, and prompt creation.

The Lead/Principal Python Engineer will develop LLM-based AI applications, utilizing frameworks and techniques for performance and scalability, while mentoring team members and collaborating across global teams.