Top Artificial Intelligence Jobs in Lisbon

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 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.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

Provide customer support through social media and email, represent brands, resolve customer requests, and ensure engaging experiences.

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

Design and develop instructor-led AI training programs, collaborating with SMEs and product managers to create engaging learning experiences for varying audiences.

As an AI Specialist, you'll develop and implement AI solutions, collaborate on business challenges, and create scalable models while documenting processes and communicating findings.

You'll develop specs and workflows, implement quality standards, and improve data pipelines while collaborating with teams throughout the delivery lifecycle.

The role involves developing data pipelines, designing evaluation workflows, supporting presales and project delivery, and improving client implementations.

The AI/ML Engineer will develop AI-driven solutions, analyze data, and build production-grade systems, utilizing Python and relevant ML techniques.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.