Top Artificial Intelligence Jobs in Berlin

The Principal AI Scientist will architect and implement advanced Generative AI models, train and optimize LLM systems, and collaborate across teams to enhance performance in AI applications.

The role involves developing and delivering workshops on AI tools, supporting the adoption of AI across ABB, and managing training on AI concepts and change management.

As a Senior Machine Learning Engineer, you will develop and scale customer-facing AI models, ensuring quality integration with business solutions, and mentoring peers.

Support business development and events, generate leads and market research, and design small automation (n8n, Python, APIs). Use CRM automation, data analysis and AI tools to qualify leads, optimize processes, and implement technical solutions to improve efficiency and growth.

Own and evolve cloud infrastructure on AWS using Terraform; manage and scale Kubernetes clusters; build and improve CI/CD pipelines; implement monitoring, logging and alerting; configure CDN infrastructure; and support ML workloads in production to improve developer experience and observability.

Own a book of accounts to drive adoption, renewals, and upsells; provide first-line technical support for integrations, agent performance and call quality; run onboarding, workshops and training; build tracking workflows, document playbooks, and translate customer needs into product feedback.

Own pilot accounts and drive commercial outcomes; build, deploy, and refine AI voice agents; partner with engineering to ship production-ready agents; lead onboarding, training, and documentation to scale onboarding and enable customer success.

Own outbound and inbound pipeline for AI cloud users, manage outreach automations, re-engage sign-ups, coordinate discovery and partner calls, maintain CRM hygiene, attend events, and design GTM experiments with founders and CRO.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

The role involves developing sophisticated LLM-powered autonomous agents, integrating intelligent services, and ensuring systems' scalability and reliability. Responsibilities include architecting AI modules, leading agile sprints, and monitoring production lifecycle with CI/CD roles.

Lead technical initiatives for Generative AI in logistics, design architecture, implement evaluation pipelines, and mentor engineers.

As a PhD Intern, you'll research and develop methods for adapting LLMs, build multimodal models, explore reinforcement learning, and evaluate user-centric outcomes, collaborating closely with teams to prototype and document findings.

As a PhD Research Intern, you will develop methods for 2D and 3D models, evaluate AI workflows, and collaborate on research projects. You'll produce documentation and potentially publish your findings.

As a Creative Gen AI Specialist at Almedia, you'll architect automated pipelines, scale creative production using AI, and innovate post-production workflows to enhance visual output efficiency and quality.

The AI Operations Specialist will lead AI-related projects, coordinate cross-departmental efforts to enhance operational efficiency, and drive AI initiatives while ensuring alignment with business goals.

The AI Marketing Lead will drive AI initiatives, lead strategic projects, ensure cross-departmental coordination, and improve operational efficiency in user acquisition and product development.

Develop and maintain full stack applications, integrate AI capabilities using APIs, and collaborate with stakeholders to enhance workflows.

Perform remote, part-time data tasks to improve German AI content, including data collection, evaluation, annotation, pairwise comparisons, counting tasks, and object tagging across audio, video, and images.

As an ML Engineer Intern, you will build and deploy ML models, design scalable infrastructure, and collaborate with data science teams in a fast-paced environment.

As an ML Engineer, you'll build and deploy scalable ML systems, optimize models, and collaborate with teams to improve content across platforms.

Support and improve ML/LLMOps and AI-agent infrastructure: evaluate LLM frameworks and APIs, build RAG pipelines, design agent evaluation systems, automate ML/data pipelines, and document findings.

As a Staff Product Engineer in AI, you will build and launch AI products, collaborate with ML scientists, and contribute across all software development phases while mentoring other engineers.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.