Top Artificial Intelligence Jobs in Berlin

As a DevOps Engineer, you'll design and maintain cloud infrastructure, automate setups, optimize deployment pipelines, and ensure compliance and security for our AI platform.

The AI Engineer will develop and improve AI-driven features and systems, focusing on LLM integration, backend development, and security best practices while collaborating with teams to enhance legal workflows.

As an Industry AI Sales Specialist at HPE, you will develop sales strategies for AI and HPC, engage with IT decision-makers, and guide customer decision-making while achieving sales quotas.

As Head of Product - AI, you will define AI as the core of our platform, lead product managers, and shape the user experience for buyers and sellers.

As Head of Product, you will shape the product organization, own the roadmap, scale the team, and ensure customer satisfaction through optimized processes and product quality.

The Senior AI Product Manager will lead cross-functional teams to define, develop, and manage B2B SaaS products, focusing on customer value and market needs, while utilizing Agile methodologies and Generative AI technologies.

Design and implement scalable machine learning systems, collaborate with product teams, and apply MLOps best practices in production environments.

The AI Software Engineer will design and deliver scalable backend systems for AI-driven products, integrating modern AI capabilities and maintaining services, with a focus on architecture and orchestration workflows.

As an AI Intern, you will improve automation in various departments by integrating systems, optimizing processes, and implementing AI tools for operational efficiency.

Own strategy and roadmap for Nelly's Billing Agent, leading product lifecycle from discovery to launch and ensuring high-quality AI experiences. Drive impact through market understanding and collaboration with engineering and design teams.

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

Citrine Informatics invites applicants to submit resumes for general opportunities. They review applications periodically for potential new roles in AI-driven materials and chemicals.

The role involves adapting scripts for dubbing, reviewing translations, evaluating voice performance, and efficiently managing multiple productions based on client demand.

The Product Manager for AI Platform will define strategy, implement AI solutions, ensure compliance, and collaborate with cross-functional teams.

The Data Analyst will create dashboards, analyze billing data, and derive insights for product development and costs related to AI platforms.

The Senior Machine Learning Engineer will design evaluation frameworks, diagnose model performance, develop ML systems, and mentor junior engineers while collaborating across teams.

The AI Solution Engineer will design and implement AI-powered solutions for customers, translating business issues into technical solutions, and collaborating with stakeholders to ensure success.

The role involves developing new AI model architectures and adapting existing models, conducting experiments, and contributing to technical strategy in a high-growth research environment.

The AI Research Engineer will research and develop novel model architectures, adapt open-source models, and contribute to the technical strategy and culture of the team.

The role requires working closely with customers to design AI-powered solutions, translating business problems into technical plans, and leading solution implementation.

The Lead Product Engineer will design and implement AI-driven applications, ensure secure architecture, and mentor the engineering team, owning end-to-end feature delivery.

Lead the deep learning team for AdTech at Delivery Hero, shaping AI strategy, developing models, and optimizing product performance across the platform.

As an Account Executive for Agentic AI, you'll cross-sell the Agentic Platform, pursue new customers, and manage the entire sales lifecycle while collaborating across teams and understanding customer needs in-depth.

The Senior Infrastructure Engineer will design and maintain AWS infrastructure for AI/ML workloads, focusing on deployment, security, and collaboration with ML teams.

The Founding Account Executive will manage the full sales cycle, building relationships with technical buyers, closing deals, and collaborating with the CRO to shape pricing strategies and pipeline generation.