Top Artificial Intelligence Jobs in Munich

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.

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.

The AI Engineer will develop and maintain AI infrastructure, implement ML solutions, curate datasets, and collaborate with teams to enhance products.

The Senior AI Engineer will design and develop intelligent conversational systems for recruiting, focusing on agentic workflows, ML/NLP products, and system integration.

The Senior AI Engineer will lead AI strategy, develop Large Language Models and data pipelines, and integrate AI into products while fostering innovation.

Design, build, and scale intelligent systems using AI/ML across various domains including LLMs, Computer Vision and Speech AI, integrating these into business workflows.

Join the math libraries team focusing on high-performance numerical software for AI and HPC. Collaborate with engineers and manage technical roadmaps while optimizing algorithms for GPU performance.

The Senior Presales Consultant will lead technical support for HPC and AI sales, design tailored solutions, and maintain relationships with clients and partners.

The Senior Presales Storage Consultant will design HPC and AI storage solutions, support sales teams, manage technical documentation, and engage with clients to optimize storage architectures for high-performance computing environments.

The Senior Networking Consultant will design networking solutions for HPC and AI platforms, support sales teams, and engage with customers to create tailored proposals, leveraging advanced networking technologies and industry knowledge.

The Product Manager will oversee product delivery, integrate AI tools, conduct user research, define success metrics, and coordinate between teams to ensure business success.

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

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.

Lead Nexi's enterprise-wide AI transformation program, collaborate with stakeholders, promote ethical AI use, and monitor AI trends for effective implementation.

The engineer will build automation frameworks for Databricks, integrate AI capabilities, and develop deployment workflows in AWS.

As a Senior AI Infrastructure Engineer at Sword Health, you will optimize and maintain AI model infrastructure, deploy real-time AI agents, and scale GPU clusters, ensuring efficiency and performance for healthcare solutions.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

The intern will contribute to MLOps, design AI/ML systems, implement research ideas, and work on various optimization models, while gaining hands-on experience.

The People Operations AI & Analytics Partner will enhance People processes using analytics, automation, and AI, working closely with various teams to optimize workflows and maintain compliance.

The AI Researcher/Engineer will develop AI agents to autonomously conduct scientific discovery, leveraging AI systems and scientific computing in materials research.

Lead the LLM team, architect systems, oversee model lifecycle, and develop advanced moderation strategies for high-traffic generative AI applications.