Top Artificial Intelligence Jobs in Lisbon
As a Senior Software Engineer, you will work full-stack using React and Node.js to develop AI-assisted collaborative content creation tools. Your responsibilities include innovating with large language models, mastering prompt engineering, collaborating with design teams, and developing robust systems for LLM responses.
The Technology Architect Advisor is responsible for advising development and production teams on technology strategies, governance processes, and best practices, as well as defining technical strategies and assessing technology solutions. This role requires strong architectural thinking and analytical skills to evaluate compliance with organizational standards and technology domain qualifications.
The Digital Marketing Automation and AI Hacker will lead initiatives in automation and AI to enhance marketing campaigns, build innovative tools, integrate tech solutions, and maintain data integrity at Triptease. The role includes experimenting with AI technologies and collaborating with teams to drive growth in the hospitality industry.
As a Data & AI Video Content Developer at DataCamp, you'll create engaging educational video content focused on data and AI for social media. Responsibilities include content prioritization, production, and post-production, collaborating with marketing and SEO teams to deliver high-quality materials. Strong communication and organizational skills are key, alongside a passion for data education.
The Generative AI Bootcamp provides comprehensive training in developing AI models that create new content, covering advanced techniques through hands-on projects. Participants will learn about Python, LLMs, multimodal systems, practical AI applications, and backend development with API integration.
The Principal Product Manager (AI) will lead AI initiatives at PandaDoc, developing strategies for AI features that improve workflow and customer experience. This role involves collaborating with engineering and data science teams, conducting user research, defining KPIs, and mentoring product teams to drive the adoption of AI solutions.
In this role, you will design, develop, and operate AI features that add customer value. You'll participate in requirements analysis, propose innovative AI solutions, write clean scalable code, and mentor team members while improving performance and security of voice solutions at Aircall.
As a Senior AI/ML Engineer at Upwork, you will develop machine learning models in the Search & Recommendations domain, analyze data to enhance model performance, and collaborate with business and engineering teams to drive impactful recommendations. Responsibilities include building efficient features, optimizing recommendation systems, and sharing insights with stakeholders.
The AI Software Engineer will develop components of an AI software stack, optimize applications, implement mathematical operators, and validate models on new hardware platforms. The role requires collaboration and a strong desire to learn new skills.
As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.
The Course Development Engineer will create and improve technical courses related to Data and AI, ensuring quality and alignment with learning objectives while collaborating with course review engineers.
The Product Marketing Manager for Data and AI will develop marketing strategies and execute go-to-market plans for Canonical's open source applications. Responsibilities include leading content and campaign development, coordinating with teams, optimizing marketing funnels, and analyzing market positioning for enterprise IT products in AI and data sectors.
The Sr. Course Development Engineer will create high-quality technical courses, mentor new hires, and collaborate with review engineers to enhance course content and effectiveness.
The Engineering Manager will lead engineering teams at Feedzai, focusing on developing and executing technical projects for risk management. Responsibilities include managing team performance, providing technical leadership, planning product development, and collaborating with cross-functional teams.
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