7 working student jobs found in Berlin

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...

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 customizable)...

BERLIN, MUNICH Tasks As a Consultant Data Engineer (m/f/d), you will actively shape the data-driven future of our clients. You will develop modern data solutions and innovative data products, as well as AI-ready data platforms that help companies make informed and sustainable decisions. Your responsibilities will include, but are not limited to, the following: Support in the design and implementation of robust and scalable data products, data architectures and AI-ready data platforms. You will develop and optimize data pipelines for the integration and transformation of diverse data sources – using modern technologies such as SQL, Python, dbt, Snowflake, Databricks and leading cloud platforms (AWS, Azure, Google Cloud). You will work closely with our customers, analyze professional and technical requirements and translate these into tailor-made data engineering solutions with real added value. Providing and structuring high-quality data for...

At Seven Senders, we connect people and markets, making international shipping simple. We are Europe's leading platform for cross-border parcel delivery, supporting e-commerce companies in scaling internationally and reaching millions of consumers across borders. By combining cutting-edge technology with strong local carrier networks, we ensure parcels move efficiently from warehouse to doorstep — whether speed or cost efficiency is the priority. Founded in Berlin in 2015, Seven Senders has grown into a team of 200+ logistics and tech experts. Today, we proudly work with clients such as Flaconi, Shop Apotheke, and Tamaris, shaping the future of European delivery together. Job Description Seven Senders is growing, and so is the regulatory and contractual complexity that comes with running a cross-border logistics platform. We're looking for a senior generalist to own legal, compliance, data protection, and AI governance topics for the business; and to build a...

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...