Top Artificial Intelligence Jobs in Berlin

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.

The VP Analyst will provide insights on AI and application services to C-level clients, conduct research, develop content, and deliver strategic advisory sessions. They will leverage broad industry experience and technical knowledge in AI technologies and application stacks.

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

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.

Lead AI transformation initiatives in procurement, creating impactful research, developing strategies, and advising clients on AI integration and analytics for business outcomes.

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.

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

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.

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.

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.

Provide hands-on deployment, debugging, benchmarking, and optimization of large-scale AI training and inference workloads on NVIDIA GPU clusters. Work with customers and internal teams to identify bottlenecks, improve efficiency, and scale workloads reliably while contributing to resilience features for sovereign AI initiatives across Europe.

The role involves testing and debugging AI clusters, maintaining hardware, and collaborating with development teams to resolve issues across networking components.

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.

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 role involves advising on AI and privacy legal issues, supporting product teams, managing compliance, and guiding enterprise customers and internal teams on privacy legislation.

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

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.