Top Artificial Intelligence Jobs in Berlin

The role involves designing AI solutions, managing tools, and advising leadership on AI trends, ensuring data readiness and compliance while driving business impact and ROI.

The AI Architect will design and build AI/ML solutions for testing platforms, focusing on architecture, insights from analytics, automated failure analysis, and collaboration with engineering teams.

The intern will design automations for lead management, conduct market research, support event planning, and assist expansion strategies in a fintech environment.

The role involves researching and developing GPU acceleration techniques for AI workloads, optimizing complex algorithms, and collaborating with technical experts. Responsibilities include publishing findings and influencing next-gen architecture designs.

The AI Support & Knowledge Manager will optimize AI performance, manage support content, design conversation flows, create automations, and oversee AI support KPIs.

As a DevTooling Engineer, you'll enhance developer tools for the Polkadot ecosystem, prototype Web3 apps, and support internal/external developers.

The Staff Product Engineer will build AI-powered products, collaborate with ML scientists, and ensure successful production deployment. Responsibilities include software development, mentorship, and enhancing technical standards.

As a Senior Product Engineer in the AI Group, you will build systems for AI products, collaborate with ML scientists, and contribute to software development phases, while mentoring others and ensuring high technical standards.

Lead the end-to-end delivery of features, integrate AI tools into the workflow, and collaborate with stakeholders to solve user problems.

The Software Engineer, AI will evaluate, compare, and refactor AI-generated code while providing detailed explanations for decisions. They will engage in asynchronous work to enhance large-language model training.

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.

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 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.