11 ai developer jobs found in Berlin

Packa   is the leading platform for managing packaging specifications—we help companies reduce packaging costs and efficiently implement sustainability requirements such as PPWR or EPR. Packmatic   is the digital platform for packaging management. We connect companies with a Europe-wide network of packaging suppliers—quickly, transparently, and based on data. Together, we are changing how packaging is developed, procured, and managed - for greater efficiency, sustainability, and impact. Supported by strong investors and an ambitious team, we are growing rapidly - and looking for people who want to shape the future with us. What you can expect at Packa Creative freedom:   You will work directly with the Packa Leadership - early stage - founding team, giving you creative freedom from day one. Ownership:   You will be part of a highly motivated, diverse, and successful team and will have a high degree of freedom and responsibility from the outset....

BERLIN, DÜSSELDORF, HAMBURG, COLOGNE, HYBRID, MUNICH Tasks Developing new ideas   to optimize and revolutionize work processes at our customers' sites. Implementation of customer-specific use cases   throughout the entire AI lifecycle. Identifying patterns and trends   while simultaneously translating technical results into   actionable recommendations   and   presenting   the results to the relevant department and management. Close collaboration   with data engineers and other stakeholders to build ETL pipelines, conduct A/B tests, and integrate models into production systems. Participation   in exciting projects across various industries (large companies and medium-sized businesses in the areas of banking, insurance, automotive, retail, etc.) Expand   your   professional   skills through   interdisciplinary   collaboration and targeted training in the areas of data engineering, cloud architecture and data science (individually...

BERLIN, DÜSSELDORF, GÜTERSLOH, HANNOVER, MUNICH Tasks As a Junior Agentic Engineer (m/f/d), you will develop and implement agent-based functions in our Delivery Squads. Working alongside experienced developers, you will contribute to modern AI solutions in real-world customer projects and support the implementation of intelligent, LLM-based systems. Implementation of components for agent-based systems   , e.g., tools, prompts, retrieval pipelines, and API integrations. Development of tests, evaluations and observability components for   LLM-based functions Contributing to code reviews   , architecture discussions, and customer demos Support for   proof-of-concepts   and   prototypes   for agent-based AI use cases Collaboration with experienced engineering teams   in the implementation of modern AI and cloud solutions. Continuous   development   in the field of Generative AI, Agentic Systems and modern software development...

BERLIN, MUNICH, HYBRID Tasks Designing, developing, and operating   AI and Generative AI solutions   on cloud (AWS/Azure) or on-premises Development and integration of   data platforms and pipelines   (e.g., Snowflake, Databricks) Developing   scalable, production-ready applications   with Python Working with   LLMs   and   OpenAI platforms/APIs   in real-world customer scenarios Translating   business requirements into robust technical solutions Contributing to   solution design, technical workshops, and customer meetings Remain flexible and open to different   technology stacks and architectures. Benefits EXPERT NETWORK HYBRID WORKING PAID CERTIFICATIONS FLAT HIERARCHIES Exciting projects focusing on   AI, Generative AI, data, and cloud-native architectures Access to the   Reply Group Communities   for AI, Data and Cloud Continuous development through   certifications...

BERLIN, MUNICH, HYBRID Tasks Designing, developing, and operating   AI and Generative AI solutions   on cloud (AWS/Azure) or on-premises Development and integration of   data platforms and pipelines   (e.g., Snowflake, Databricks) Developing   scalable, production-ready applications   with Python Working with   LLMs   and   OpenAI platforms/APIs   in real-world customer scenarios Translating   business requirements into robust technical solutions Contributing to   solution design, technical workshops, and customer meetings Remain flexible and open to different   technology stacks and architectures. Benefits EXPERT NETWORK HYBRID WORKING PAID CERTIFICATIONS FLAT HIERARCHIES Exciting projects focusing on   AI, Generative AI, data, and cloud-native architectures Access to the   Reply Group Communities   for AI, Data and Cloud Continuous development through   certifications...

BERLIN, DÜSSELDORF, GÜTERSLOH, HANNOVER, MUNICH Tasks AI systems are only as intelligent as the data and relationships they can understand.   As a Junior Graph AI Engineer (m/f/d), you'll work on the next generation of intelligent applications: You'll combine   knowledge graphs, machine learning, and large language models   to not only search company data but also make relationships visible and usable. Support in the   development   of   graph-based AI solutions   and modern applications around GraphRAG and LLMs Contributing to the   development   and   enhancement   of   knowledge graphs   and   data models. Development and optimization   of technical components   and   data pipelines with Python Conducting   initial analyses   and   experiments   in the field of machine learning and graph technologies Support in preparing   workshops   ,   demos   and   presentations   for internal teams and customers. Collaboration...

BERLIN, MUNICH, HYBRID Tasks As a Junior GenAI Engineer (m/f/d), you will support the development and implementation of generative AI models, (multi-)agent-based LLM applications, and AI-powered solutions for customer-specific requirements. You will work closely with experienced colleagues and learn to apply modern GenAI technologies in real-world projects. You will contribute to the   development and maintenance of AI pipelines, APIs, and interactive applications   , and gain practical experience with technologies such as Large Language Models, multimodal models, knowledge graphs, and AI-powered products. Together with the team,   you   will analyze   business applications   for generative AI and   support   the   implementation of technical solutions. You work with   various technology stacks   , such as Azure, AWS, GCP, Databricks, LangChain, Hugging Face, OpenAI APIs, LLM frameworks and cloud infrastructure, and continuously develop your...

Ultra Tendency is a global Data & AI consultancy with teams across Europe, Asia, and the Americas. As we continue to expand our presence across Europe, we are looking for a   Senior Data Engineer – Databricks   to join our growing team and contribute to the development of scalable data platforms for international clients. In this role, you will work closely with data engineers, data scientists, architects, and business stakeholders to design and implement robust data solutions using modern cloud and data technologies. We offer a competitive compensation package aligned with German market standards, based on experience, location, and qualifications. Your Responsibilities Design, implement, and maintain scalable data pipelines on the Databricks Lakehouse Platform using technologies such as Apache Spark and Delta Lake. Develop and optimize batch and streaming data workflows that support analytics, machine learning, and business intelligence use cases....

Clariness is looking for an AI Engineer (f/m/d/) based in Germany. - Full time; unlimited - About the role: This role is about turning AI and machine learning ideas into reliable, scalable solutions for Clariness' platforms. You will join a collaborative technical environment and work across the AI/ML lifecycle, from understanding a business problem and developing a solution to deployment, monitoring and continuous improvement within the regulated clinical-trial space. As an AI Engineer, you would be responsible for: Designing, building and operating production AI and machine learning solutions, including data pipelines, models and inference services. Developing LLM-powered features using approaches such as retrieval-augmented generation (RAG), agent workflows, tool calling and structured outputs, with a focus on reliability, measurable quality and cost efficiency. Delivering end-to-end machine learning workflows on Databricks, from data preparation and...

Company: Oliver Wyman Description: Who we are Oliver Wyman is a global management consulting firm. We work with clients through their most defining moments, combining deep industry knowledge, specialized expertise, and the power of perspective to help them adapt, grow, and thrive. We believe diverse perspectives make the work stronger. Our consultants bring different backgrounds, experiences, and ways of thinking to help solve complex problems and create lasting impact for clients, colleagues, and communities. At Oliver Wyman, we are proud of the values ​​that we aspire to live by. We are committed to creating an inclusive environment where everyone can thrive and reach their full potential. Within Oliver Wyman, the Data & Analytics (DNA) division was established in 2017 and operates globally, with a particular focus on Europe. We are a dynamic and rapidly growing team of quantitative analytics specialists, collaborating closely with colleagues across the...

BERLIN, MUNICH Tasks Together with experienced colleagues, you will develop the architecture and implementation of modern AI and data-driven platforms in the cloud – with the goal of providing scalable solutions for machine learning and GenAI applications. Automate infrastructure deployment with tools like Terraform or Ansible and create the foundation for the reliable operation of AI workloads, training pipelines, and inference-related systems . Dive into the development and optimization of CI/CD and MLOps pipelines to efficiently train, version, and deploy production-ready models. Support in monitoring the performance of AI systems and distributed data platforms , detecting anomalies early using intelligent monitoring approaches, and initiating automated countermeasures. Actively contribute to the team, exchange ideas and shape the further development of our platforms – especially through prototyping AI applications, experimenting with...