Top Artificial Intelligence Jobs in Munich

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.

As a Machine Learning Engineer or Architect, you'll provide technical leadership to clients on GCP, design and implement AI/ML solutions, and troubleshoot technical issues. You will collaborate with diverse teams and educate clients through workshops on AI/ML and GCP capabilities.

The Neuromorphic AI Software Framework Lead at Intel will integrate Loihi APIs into AI/DL frameworks like PyTorch and TensorFlow, develop tools for model training, enhance compiler and profiling infrastructure, and lead a collaborative team to drive the adoption of neuromorphic computing technology in commercial products.

This Ph.D. research involves analyzing and improving the fault tolerance and safety of AI accelerators through innovative Electronic Design Automation methods, focusing on designing hardware with advanced fault detection mechanisms for automotive applications.

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.

Outlier is seeking software engineers to contribute coding expertise for training AI models. Responsibilities include crafting questions, evaluating AI-generated code, and providing human feedback to improve AI performance. No prior AI experience is needed, and the role offers flexible remote work hours.

The AI Sales Specialist will drive sales and consultancy for Cloud Services, engaging with customers and stakeholders to promote Red Hat's offerings. The role requires building relationships with cloud providers, leading competitive sales strategies, and providing feedback on product offerings, supported by over 5 years of experience in sales or delivery within enterprise software and a strong understanding of the Kubernetes ecosystem.

The Staff Machine Learning Engineer will lead the design and integration of Generative AI solutions in Firefox, oversee the building of infrastructure for LLMs, implement validation procedures, and optimize models for performance.