Top Artificial Intelligence Jobs in Lisbon

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.

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.

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.

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

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 AI strategy and execution at Pigment, mentor a team in AI and data science, and drive AI integration across the organization.

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

WunderGraph seeks a Staff FullStack AI Engineer to lead architecture for AI-driven projects, mentoring engineers and ensuring scalable, secure systems. Responsibilities include backend and frontend development with a focus on AI workflows and enterprise readiness.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

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.

Research and implement physics-informed AI algorithms and workflows, supervise teams, publish research, and collaborate for Autodesk's design and engineering tools.

The AI/ML Engineer will develop and maintain AI algorithms, create data pipelines, collaborate on product features, and ensure a high-quality customer experience.

The AI Engineer will implement AI features, fine-tune models, and research to drive product innovation in a startup environment.