Top Artificial Intelligence Jobs in Berlin

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.

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 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 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 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.

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.

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

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.

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.