Top Artificial Intelligence Jobs in Berlin

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.

Design and develop intelligent data solutions, optimizing data pipelines and automation systems to enhance Statista's analytics and AI products.

Develop computer vision models for object recognition and video understanding while evaluating and improving their performance for real-world applications.

Lead the development of voice AI solutions focusing on speech recognition, NLP, and deployment of AI models. Collaborate with teams to deliver high-quality products and innovative technologies to enhance customer experiences.

The AI Automation Engineer will automate workflows and build internal tools for Sales, Marketing, and Customer Success, streamlining processes and improving efficiency in a fast-paced startup environment.

As a Principal Forward Deployed Engineer, you'll deploy JetBrains Central in enterprise environments, implement AI governance, mentor teams, and advise customers on AI-native development best practices.

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

The Technical Product Manager will oversee networking services, manage product backlogs, coordinate cross-company implementations, and ensure performance and security in delivery.

The Senior Product Manager will own the strategic roadmap, lead market research, manage monetization strategies, and mentor product managers within an AI and EdTech environment.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

The role involves managing compliance with AI and e-commerce regulations, handling contracts, keeping compliance documentation, and conducting risk assessments. Regular collaboration with the Ethics and Compliance Officer is essential.

As a Continuous Improvement Manager, you'll analyze operations, drive implementation of AI-powered improvements, and build strong relationships with customers while ensuring measurable outcomes and efficiencies.

The Engineering Manager - AI will lead a collaborative team, manage software engineering projects, and focus on building a user-centric deliverable while ensuring high quality and performance in AI-based applications.

Design and implement the user experience for an AI-powered Anti-Money-Laundering platform, focusing on intuitive interfaces, workflow automation, and collaboration with product and engineering teams.

Design and build high-performance backend systems for financial applications. Collaborate with teams to create scalable architectures and implement AI-driven features.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

Translate legal expertise into AI-powered workflows and Libra Assistants by partnering with Product, Engineering, Sales, and clients to design, implement, and optimize solutions. Support pilots, enable customers, create training content, and provide product feedback to improve accuracy and adoption.

Manage end-to-end technology projects for an AI platform, coordinating across teams and ensuring quality delivery. Drive project planning, stakeholder communication, and issue resolution in a fast-paced environment.