9 jobs found in Berlin

About Eye Security Eye Security is an international scale-up providing cyber security with embedded cyber insurance to SMBs in Europe. Our cyber security innovations, state-of-the-art automation and platforms are being built and maintained by our Product and Engineering Teams. Our engineers and product managers collaborate closely with cyber security experts to ensure that their hacker's mindset is embedded into our platform. Our platform is a proprietary Open XDR (eXtended Detection Response) system that brings in security data from several market leading cyber security products into our centralized repository. From here cyber security experts can work their magic. This makes sure that our hundreds of customers experience the same value via automated systems, allowing us to scale in Europe. About this role We're looking for a Senior Engineer to join one of our stream-aligned engineering teams. At Eye, we organize engineering around streams: mission-driven groups...

Berlin nationwide/remote Düsseldorf Heidelberg Ulm Professional experience Full/Part-time For over 35 years, we have been helping companies create real added value from data. To achieve this, we develop customized data, AI, and software solutions and, as a specialized boutique service provider, support our clients throughout the entire data-to-value journey – from the initial idea to productive application. In our projects, we combine data engineering, machine learning, generative AI, and software engineering with in-depth industry knowledge and methodological clarity. With over 170 employees, we work on challenging projects in sectors such as life sciences, finance, and manufacturing, developing sustainable solutions together. In this role, you will support demanding customer projects in the areas of data, digitalization and AI, and develop modern data platforms for analytics and data-driven applications – with a direct impact on data-based...

Berlin, Dortmund, Hamburg, Pulheim near Cologne from now on Job ID: 7798 | Contract type: permanent The AI ​​Integration Engineer plays a central role in the technical and organizational transition of AI solutions from MVP and delivery phases to stable, productive operation. In this role, they define infrastructure-related standards for deployment, integration, and operation; bridge the gap between ML engineers/data scientists, business IT/service clusters, AI governance, and platform and infrastructure functions; and ensure that go-live, monitoring, and lifecycle management are considered from the outset and continuously managed after go-live. YOUR TASKS Strategic and operational design of the requirements and standards for the go-live, takeover and scaling of AI solutions for all AI units at Amprion – taking into account the applicable EU AI Act requirements, starting as early as the PoC/MVP phase. Definition of procedures and technical...

Artefact, a rapidly growing global AI and data consulting firm, is looking for a talented, energetic Junior AI & Data Strategy Consultant (m/f/d) to join their consulting team at Artefact Germany. Could that be you? These are the tasks you will take on. Needs identification:   You identify and understand customer needs and help develop data-driven business models and process optimization strategies. Governance and data strategies:   You will contribute to the development of governance structures and the formulation of action plans for data strategies, AI and business intelligence solutions. Change Management:   You drive organizational development forward through sustainable change management. Workshops and training courses:   You organize and lead workshops and training courses to ensure project success. Project collaboration:   You are part of the project from start to finish, including customer interaction, project management and quality...

We're redefining how robots are deployed. Our platform enables users to simulate, test, and optimize entire robotic systems in parallel. By removing the barriers that have kept advanced robotics out of reach for all but the largest players, we're ushering in a new era of manufacturing—one where mass reshoring is not only viable, but inevitable. The Software Engineer will develop connectors linking third-party simulation tools with our application's core, reporting to the manager of the Resolver Connectors scrum team. This role will develop software that communicates with the APIs of third-party simulation tools and extracts data to be fed to our advanced motion planning software to solve complex robotics challenges in an industrial environment. In this position, you will: Design, develop, test and maintain new features that extend the capabilities and performance of our product, using primarily C# with occasional use of Python or JavaScript Collaborate with a cross...

As   Data Analyst,   you play a key role in driving data-informed decision-making across one of LYNX’s most strategic product and business domains. We are looking for four Data Analysts to join one of our core squads:   Onboarding ,   Demand Capture ,   Client Experience , or   Client & Product Integrity . Onboarding Squad:   Analyze and improve the customer onboarding journey to make it faster, smoother, and more efficient. Demand Capture Squad:   Use data to understand customer interest and help turn prospects into qualified leads and customers. Client Experience Squad:   Analyze client behavior, feedback, and platform usage to improve the trading experience, increase loyalty, and reduce churn. Client and Product Integrity Squad:   Support smarter, data-driven compliance and due diligence processes tailored to client needs and risk profiles. In this role, you will help turn data into actionable insights that improve client journeys, optimize...

About Recare As one of the leading German HealthTech companies, we are reshaping discharge management – ​​technology-driven, patient-centered, and free from bureaucracy. In addition to our market-leading SaaS platform, we develop AI solutions that radically simplify processes in hospitals and for aftercare providers, relieve healthcare professionals, and refocus attention on patients. Today, we already connect two-thirds of all German hospitals with over 650 rehabilitation clinics and 25,000 nursing and homecare providers. With currently around 100 employees, we continue to grow – and we are looking for people with character who want to help us improve the healthcare system and solve administrative complexity across care journeys in Europe. What to expect as our Senior AI Data Platform Engineer (m/f/d): Purposeful work   – your role will have a positive impact on patients, their families, and healthcare professionals. Company culture   – we believe in flat...

Metrology expertise “Made in Germany” – that’s what the approximately 2,100 employees of the Physikalisch-Technische Bundesanstalt (PTB) stand for. As the national metrology institute and a leading research institution, we develop world-leading standards for measurement in an international working environment. In this way, we ensure that people and organizations can trust measurements. In Berlin-Charlottenburg, we are looking for you for department 9.55 “High-performance computing” as: IT Server Expert (m/f/d) Computer Science, Software Engineering, Data Science Pay grade 10 TVöD Bund (Federal Public Service Collective Agreement) Permanent Full-time Your tasks: The PTB's IT department is organized into five sections and divided between the Braunschweig and Berlin locations, which work closely together. Section 9.55, "High-Performance Computing," at the PTB's Berlin location, operates compute servers and a high-performance computing cluster running Linux for...

for the Oranienburg location, full-time Your tasks Further development and implementation   of AI and machine learning models to solve specific business problems Development, maintenance and further development   of data pipelines as well as training and inference infrastructures (including versioning, repeatability, automation) Selection of suitable algorithms, frameworks and toolchains,   taking into account performance, cost, maintainability and security. Integration of AI solutions   into existing IT systems (e.g., interfaces, APIs, events, data flows, permissions) Monitoring, quality assurance and continuous improvement   of productive AI systems Establishment of   MLOps/LLMOps practices   (CI/CD for models, testing strategies, observability, rollback mechanisms, governance) Further application support and project work beyond the field of AI Contributing to the standardization and digitization of business processes   within the...