Top Artificial Intelligence Jobs in Portugal

As a Senior Python Engineer, you'll develop systems for AI-powered document generation, working with Python frameworks and integrating with AWS while ensuring code quality and system reliability.

Lead and mentor an engineering team to develop and deploy AI-driven solutions, managing projects from conception to maintenance while solving complex technical challenges.

Develop dynamic user interfaces for AI systems, focusing on responsive design, real-time data visualization, and collaboration with AI engineering teams.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

The AI Specialist, Customer Success ensures customers achieve business outcomes using Zendesk's AI solutions by driving adoption, managing health, advocating for clients, and collaborating with internal teams.

As a Senior AI Engineer, design and develop AI solutions, conduct research, support demos, and lead knowledge-sharing sessions, promoting best practices in AI.

Lead the development of (Gen)AI applications, managing client strategies, overseeing AI initiatives, and mentoring teams. Drive the adoption of data science and AI solutions.

Provide technical support for AI inference issues, troubleshoot deployment problems, analyze logs/metrics, and enhance platform usability by collaborating with engineering.

As a Lead Software Engineer, you'll guide the Neural AI team in AI-driven localization, focusing on machine translation, foster team autonomy, mentor engineers, and represent the team in cross-functional discussions while ensuring impactful outcomes.

This role involves architecting and building AI agent systems, developing full-stack features, and shaping the technical direction of an early-stage startup's AI platform.

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

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.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

The B2B AI Marketing Specialist will design multi-channel strategies, develop content ecosystems, and enable sales teams through innovative marketing practices.

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.

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

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.

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

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.

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.