7 artificial intelligence jobs found in Munich

Do you want to apply AI in practice? With us, you'll work with real data, modern ML methods, and agentic AI systems – in interdisciplinary teams and with individual support.   Here's what you can expect from us: You will work on the development and improvement of AI applications, e.g. for intelligent data processing, decision support or automation. You will support the design, implementation, and evaluation of ML models as a basis for AI functionalities. You conduct literature research and develop prototypes to validate new approaches. You will study concepts and applications of agentic AI systems, e.g., autonomous decision logic, tool integration, and multi-agent architectures. You will work closely with our AI team and receive individual support. You have the opportunity to further develop your work in a bachelor's or master's thesis. You bring the following: You are a student in the field of computer...

Who we are At Supermodular AI, we believe AI is revolutionizing the way people and organizations work—making teams more efficient and focused on what truly drives success. We partner with IT organizations to develop tailored AI Agents that seamlessly integrate into enterprise workflows, automate complex tasks and accelerate business outcomes. Our approach is not about adding more tools but about embedding AI into the systems IT professionals already use, ensuring automation and intelligence align with their unique challenges. From DevOps and cloud migration to cybersecurity and business continuity, our Agents address the most critical pain points by learning from the organization and evolving with its needs. Although we are a young company, our team has a proven track record in building high-impact AI solutions and scaling engineering teams. With our first clients already benefiting from our technology, we are on a fast-growth trajectory to redefine how IT...

At Appsfactory, Germany's leading agency for digital transformation, we develop tailor-made software solutions for clients from a wide variety of sectors - including, of course, the exciting field of artificial intelligence. If you have a passion for AI and Python and a background in computer science and/or mathematics, then you've come to the right place! We offer an inspiring environment where you can contribute your skills and experience and work on groundbreaking AI projects. We are not looking for a pure AI researcher or data scientist, but a strong, pragmatic backend developer who integrates AI solutions from A to Z for our major clients. Your tasks Developing innovative AI solutions   for our clients together with a highly motivated, agile team AI integration for major clients   , from AI tech consulting, (rapid) AI coding to platform building and performance optimization. Consulting and support   for our clients in the development,...

  These are the tasks you will be responsible for: Planning, building and operation of cloud-native platforms as well as deployment of microservices and containerized applications Development and optimization of CI/CD pipelines for the automated deployment of platform components Implementation of Infrastructure as Code and GitOps approaches (e.g., GitLab CI, Terraform, Crossplane, Ansible, ArgoCD) Conceptualization and execution of container builds (Docker, Buildah, Maven Jib) as well as management of artifacts (Nexus, Harbor) Monitoring, logging and alerting using Prometheus, Grafana, Instana Operation and optimization of highly available applications (PHP, Java, Node.js) Scaling and resource optimization in Kubernetes environments Implementation of application deployments via Helm charts, Kustomize or Kubernetes operators Model-based documentation of technical systems, CI/CD workflows, GitOps processes and service topologies...

Location(s):  Cologne  ,  Mannheim  ,  Munich, Nuremberg, Stuttgart Type:  Permanent position, full-time, part-time and mobile working If you're looking for a job that offers you true flexibility and values ​​your professional excellence, we'd like to introduce you to the following position. At bridgingIT,  people are our priority  , and  now it's your turn! YOUR role Shape the future of data with us! Whether you're a beginner or an experienced professional – if you love data and want to create real value from it, you've come to the right place. With us, you can contribute your expertise, develop it further, and work with our team to create innovative solutions. Become part of our analytics and data community and collaborate with like-minded individuals on exciting projects. Data Engineering: Data processing & architecture  : Conception and development of ETL/ELT pipelines (e.g. on...

As Executive Assistant, you will work directly with our founder, Philipp Göllner. You will be involved in strategic decisions and support the further development of our consulting and DevOps services. XALT is a growing consulting firm specializing in DevOps, Atlassian solutions , and digital transformation. Contributing to the development and implementation of consulting strategies in the areas of DevOps and digital transformation. Daily training in AI and support in managing the AI ​​strategy. Support in the planning and execution of customer projects Preparation of presentations and decision-making documents for internal and external stakeholders Coordination between different teams Insight into and collaboration on all topics that arise as a founder. Accompaniment for trips and appointments Qualification Studies in the field of economics, computer science or a related field, or comparable experience Initial experience in...

Your mission Design and maintain scalable pipelines to ingest and organize large volumes of time-series camera and sensor data (RGB, IR, acoustic, depth, IMU, and other modalities). Own and improve datasets for object detection and classification tasks, ensuring statistical robustness, diversity, and representativeness. Build and operate active learning loops to select high-value samples, reduce annotation cost, and continuously improve model performance. Write robust preprocessing pipelines using Python, NumPy, Pandas, and augmentation libraries like Albumentations. Manage labeling workflows, including QA rules, label consistency checks, vendor coordination, and dataset versioning. Collaborate with ML Engineers to fine-tune, train, and evaluate object detection models and feed insights back into the data pipeline. Analyze model weaknesses, uncover blind spots, and drive dataset improvements through statistical diagnostics and drift/bias detection. Create...