Top Artificial Intelligence Jobs in Portugal

Lead a team of AI Product Designers to shape the future of AI-powered developer tools, managing design strategy, user research, and cross-functional collaboration.

The role combines designing AI/ML architectures and hands-on engineering on AWS. Responsibilities include client requirements gathering, cloud architecture design, and implementing CI/CD for AI workloads.

As a Product Manager for AI & Internal Platforms, you'll oversee tool development, product roadmaps, and enhance user experiences, focusing on impact measurement tools. You will collaborate with teams to ensure high-quality delivery and drive internal tool adoption.

As part of the Advanced Analytics and AI team, you will develop and deploy machine learning models, engage with business functions to create AI opportunities, and support AI capability roadmaps, all while working in a collaborative international environment.

The AI/Machine Learning Engineer will develop ML pipelines, collaborate with data teams, and implement scalable models while staying updated on AI advancements.

Lead the design and governance of AI and ML ecosystems. Define MLOps strategies, implement scalable infrastructure, and ensure data quality and security.

As an AI/Machine Learning Engineer, you will design and implement ML pipelines, enhance production models, and collaborate with data scientists and engineers to drive business value.

The Senior MLOps Engineer will develop and implement MLOps strategies, architect cloud infrastructure for ML workloads, build automated pipelines, and mentor stakeholders.

Develop AI-driven components for broadcast solutions, participating in the full software development lifecycle, including design, implementation, and maintenance.

The role involves building AI-driven products, designing intelligent workflows, and developing data pipelines for efficient AI integration and automation.

The AI/ML Engineer will design and implement ML pipelines using Cloudera, optimize retrieval architectures, and manage end-to-end ML infrastructure, focusing on performance and scalability.

The role involves developing and maintaining AI solutions using Java, analyzing user interactions, and integrating with client systems while ensuring scalable and efficient software design.

As an MLOps Engineer, you will architect and build scalable infrastructure for AI models, ensuring reliability and automation throughout the entire lifecycle of production AI systems.

The AI/ML Engineer will design and implement AI-driven checks for data quality, automate QA processes, and collaborate with teams to enhance validation. Responsibilities include using ML techniques for anomaly detection and providing insights through data visualization.

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

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

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

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.

Develop and enhance AI-driven architectures and cloud-based services, collaborating with teams to deliver scalable solutions and mentor junior engineers.

As a Senior Software Engineer, you'll design AI-driven architectures for intelligent customer engagement platforms, working on cloud-based systems and mentoring junior engineers.

The Senior Automation and AI Manager will drive the efficiency of Airalo Support by leveraging AI and automation tools to enhance customer support operations, focusing on automating workflows and improving chatbot performance.

As a Senior Software AI Engineer, you will implement AI-driven solutions, integrating various technologies, and working on production environments for automation and data integration tasks while ensuring security and compliance.

The Lead AI Engineer will deploy and operate AI automation platforms, build the first AI automations, and architect internal systems while influencing future engineering hires.