Top Artificial Intelligence Jobs in Germany

The role involves developing data strategies, optimizing data pipelines, delivering insights, and implementing new technologies to improve Marine Corps intelligence capacity with a focus on AI and data modernization.

Design and improve enemy AI for a game by collaborating with teams, ensuring balanced ecosystems, and delivering high-quality experiences.

As a Senior AI Infrastructure Engineer, you will build and optimize training pipelines and inference services for AI models, ensuring robust performance in production environments while collaborating with ML scientists.

The Senior GTM Engineer at Xentral will develop AI-driven workflows, ensure efficient data flows, integrate marketing tools, and create feedback loops to enhance marketing processes.

The role involves identifying automation potentials in business processes using AI agents and low-code tools, supporting AI workflow prototyping, conducting research, and preparing technical concepts for management. Candidates should be pursuing a Master's degree with experience in AI projects, particularly in LLMs and automation.

Senior AI/ML Consultant focuses on transforming AI ambitions into production-ready systems, guiding clients through the AI integration process and building operational AI strategies. The role includes leading projects, mentoring junior staff, and contributing to thought leadership in Data & AI.

The AI Native Product Manager will lead Forest Operations solutions by translating customer needs and market insights into product requirements while collaborating with cross-functional teams to drive AI-first initiatives and improve timber supply chains.

The Senior Developer Relations Manager will drive AI technology adoption by engaging with ISVs and enterprise leaders, provide technical leadership in AI and computer vision, and lead thought leadership discussions for NVIDIA's AI ecosystems.

The role involves designing Python software solutions for Genedata Expressionist, focusing on mass-spectrometry-driven R&D workflows, collaborating with scientists and ensuring software quality.

The AI Full-Stack Developer will create automation solutions using AI and LLM APIs, integrating these with internal systems while collaborating with technical teams.

Lead the design strategy for Deel's AI vertical, overseeing design for AI products, enhancing user experiences, mentoring designers, and driving cross-team collaboration.

This role involves enhancing developer velocity through automating workflows, managing AI-Ops infrastructure, and optimizing CI/CD processes for a multi-language project. Responsibilities include designing onboarding environments, implementing performance checks, and facilitating effective build management.

The AI Product Manager will drive the development of AI-powered applications, collaborating with engineering and design teams, conducting market research, and optimizing AI models to align with user needs.

The AI/ML Engineer will develop and optimize machine learning models, work with cross-functional teams, and enhance mobile app features.

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

Design and implement production-quality software solutions for scientific workflows, collaborating with scientists and engineers and utilizing AI-assisted tools.

Design and implement Python software solutions for biopharma R&D workflows, integrating AI tools to enhance software development processes.

The role involves designing and implementing AI solutions for semiconductor applications, developing multi-agent systems, and collaborating with cross-functional teams for seamless deployment.

The Director of AI Quality & Safety oversees quality assurance for AI-driven legal and regulatory systems, ensuring compliance, safety, and effectiveness through evaluation frameworks and operational standards.

The role involves designing, developing, and validating software for satellite communication systems, including managing Ground Stations and utilizing AI technologies.

The Senior Full-stack AI Engineer will develop and implement intelligent AI solutions, manage AI applications, CI/CD pipelines, and collaborate with stakeholders to integrate solutions into enterprise systems. Responsibilities include architecting scalable AI and microservice solutions, tuning AI models, and ensuring compliance with industry standards.

As a Staff Product Engineer in AI, you will build and launch AI products, collaborate with ML scientists, and contribute across all software development phases while mentoring other engineers.

The Engineering Manager will lead the AI Platform Team, overseeing infrastructure development, hands-on coding, and supporting ML teams while planning high-impact roadmaps and improving developer experience.

Lead and manage a high-performing team focused on building AI infrastructure, supporting ML scientists, improving developer experience, and shaping AI platforms while staying hands-on in production code.

Develop and maintain full stack applications, integrate AI capabilities using APIs, and collaborate with stakeholders to enhance workflows.