7 devops jobs found in Berlin

Our Vision At Nomitri, our ambition is bold:   to become a leading worldwide player in Edge AI and Computer Vision . Join Nomitri and build the infrastructure behind next-generation Edge AI systems. We deploy computer vision solutions at scale for major international retailers, running across cloud and edge environments in 15+ countries and processing millions of inferences daily. We’re looking for a senior engineer who wants to   own complex systems end-to-end , make   high-impact architectural decisions , and grow into a   key technical leader   as we scale. Location:   Berlin, Germany (hybrid:   3 days in-office , 2 days remote) What you'll do Take ownership of our multi-cloud architecture (GCP, Azure, AWS) — from design to operation. Build a true platform engineering layer: scalable, self-service infrastructure that accelerates all engineering teams. Architect networking across cloud and edge (hybrid connectivity, routing, secure communication at...

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...

At BMG, we understand the importance of music and are committed to its successful development. We work together as a community of artists, songwriters, and partners to create music and build sustainable careers. Here, music creators find not only business partners but also a trusted home where they can shape culture with their work and leave a lasting legacy. Together, we grow and evolve. We believe that creativity flourishes best when people feel they belong. For us, this means creating an environment where everyone can be themselves, contribute freely, and be treated with fairness and respect—regardless of background, identity, or life story. We are committed to a workplace that values ​​individuality, actively promotes inclusion, and gives everyone the opportunity to grow. All applicants are treated equally at BMG – regardless of age, disability, gender identity or expression, marital status, pregnancy or maternity, skin color, nationality, ethnic or national origin,...

Berlin Full-time Permanent position Description Do you want to work in Data Science & Analytics where it really matters – on complex industrial projects with a direct impact on management-level decisions? At DRIVE Consulting, you'll work on challenging issues for leading industrial companies. You'll support the implementation of data-driven decisions in transformation and consulting projects. Our analyses and dashboards are directly integrated into our clients' reporting and decision-making processes. In this role, you'll work hands-on on analytics solutions and support the development of dashboards, the analysis of complex data, and the creation of data structures and pipelines. You'll accompany projects from requirements analysis and concept development to implementation, continuously developing your technical and methodological skills. Your tasks You will work on analytics workstreams in client projects and take responsibility for your own...

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...

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...