synvert GmbH

synvert is the #1pure play cloud data & AI full-services provider in EMEA, enabling companies to achieve sustainable competitive advantages from the use of data. synvert optimizes your business processes and products for and with you, making them more sustainable, cost-effective and secure through the use of cloud data & AI With more than 500 cloud data & AI experts, synvert covers the entire data & AI value chain from data strategy to the operation of your analytics platforms. We are proficient in all relevant analytics use cases, technologies and possess the business knowledge of various industries that is needed to deliver sustainable solutions. synvert is already active in Germany, Switzerland, Spain, Portugal and the UAE with its own entities and offices. Further locations will follow to realize the goal of a European cloud data & AI player. Our Cloud Data & AI Services: • Data Management • Data Services • AI & GenAI • App Dev • Cloud Enablement • Cloud Platforms • Cloud Operations • Data Governance synvert develops and operates sustainable data value chains and cloud data & AI platforms for you, so that you can use analytical data products in a standardized manner, quickly, securely, cost-effectively, consistently, and oriented in a way to serve the specific needs of your company. Cloud data & AI projects 2.0 are becoming more complex, multi-layered and extensive. As a result, the demands that companies make of their cloud data & AI consulting partners are becoming more sophisticated. With synvert, the management and the employees of the companies involved, want to meet the expectations of existing and new customers for a full-service cloud data & AI consulting company. This is because, in addition to the quality of the consulting products, the ability to quickly scale the number of consultants in a project is another success factor. Email: group@synvert.com
21/08/2026
Full time
synvert GmbH Münster, Germany
Your   tasks Analysis, design, development and optimization of AI and GenAI solutions in cloud and on-premises environments for customers from various industries. Integration of GenAI components (e.g., LLMs, embeddings, vector databases) into existing architectures and migration of existing AI workloads to cloud or hybrid platforms. Development and enhancement of AI/GenAI platforms (e.g., for model hosting, prompt pipelines, retrieval augmented generation [RAG], MLOps/LLMOps) Implementation of AI-based use cases using modern cloud services, machine learning frameworks and GenAI APIs Creation of prototypes, proofs of concepts and showcases for the evaluation of new technologies and architectures. Conceptualization and documentation of AI governance and security requirements, e.g., Responsible AI, access concepts, model monitoring Medium-term assumption of (partial) project management as well as planning and execution of workshops, training courses and...