Top Artificial Intelligence Jobs in Lisbon

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 AI Operations Specialist will manage AI and ML models on Snowflake, ensuring their reliability, scalability, and performance. Responsibilities include model deployment, system monitoring, performance optimization, data management, and continuous improvement initiatives to enhance AI operations.

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.

Join Redis as a Principal Software Engineer to enhance the Vector and Search capabilities. Responsibilities include researching, designing, and implementing advanced algorithms for database systems, optimizing performance, and collaborating with teams to resolve complex issues in high-scale environments.

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 Senior Data and AI Engineer, you will lead AI strategy, design data pipelines, and deploy AI models using cloud infrastructure while collaborating with teams to integrate AI solutions, ensuring responsible innovation.

The Senior AI Engineer will design, develop, and deploy AI models for conversational applications, collaborate with product and design teams, and integrate APIs using frameworks like FastAPI, Django, or Flask. The role requires mentoring junior engineers and keeping up with AI trends to enhance product functionality.

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.