17 devops jobs found

Our Operations & IT team in Düsseldorf is looking for YOU! We are Uniper As an international energy company, Uniper is committed to actively driving energy evolution and ensuring security of supply today and tomorrow. We are convinced that we can only achieve our goals and sustainable change through the individual perspectives, ways of thinking, skills, and experiences that each employee brings to the team. This allows us to learn from each other and develop together to achieve measurable goals. Diversity and inclusion are highly valued at Uniper and actively practiced as an integral part of our corporate culture. Equal opportunities and a work environment in which everyone feels equally valued and respected are key factors for innovation, creativity, and for fostering the full potential of our employees. Whether at Uniper's operational sites, in the office, or working from home – regardless of location, our team is always connected through our shared understanding of...

Our mission We're on a mission to create 10 million human firewalls! At revel8, we redefine cybersecurity training with hyper-realistic simulations that reflect today's evolving attack landscape. Our innovative platform combines AI-driven multi-channel attacks with gamified, real-time learning to build resilience where it matters most: the people. Your mission As a Working Student in our Engineering team you are a core part of the team responsible for scaling a platform with a rapidly growing user base. You will work closely with our Engineers to turn complex challenges into high-quality software solutions. How your day-to-day will look like: Designing and implementing new features:   You are responsible for turning user stories into reality within our cloud application. Identifying and solving problems:   You'll dive deep into the code to find bugs and ship high-quality fixes. Scaling for growth:   You are part of a team that operates a platform...

About Air Apps At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. The Role As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences. You will lead the product development...

About Air Apps At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. The Role As an   AI/ML Engineer , you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with...

Job Title: Director (m/f/d) of AI Data Strategy & Architecture Req ID: 48545 Job Location (Short): Alcobendas, ESP | Guntramsdorf, AUT | Ljubljana, SVN | Nordborg, DNK | Offenbach Am Main, GER Employment Type: Full Time Segment: Danfoss Power Electronics and Drives Segment Job Category: Business Strategy & Corporate Development Work Location Type: Hybrid The Impact You'll Make As   Director (m/f/d) of AI Data Strategy & Architecture   , you will play a key role in shaping how Danfoss uses data to drive digitalization and innovation across our business. You will help us build the data foundations that power trusted Analytics and AI solutions - enabling smarter decisions, stronger performance, and better experiences for colleagues and customers. You will be the connector between business priorities, data engineering practices, and the operational...

About GF GlobalFoundries® Inc. (GF®) is one of the world's leading semiconductor manufacturers. GF ​​is redefining innovation and semiconductor manufacturing by developing and delivering feature-rich process technology solutions with leading performance in all growth markets. GF ​​offers a unique mix of design, development, and manufacturing services. With a talented and diverse team and manufacturing facilities in the USA, Europe, and Asia, GF is a trusted technology provider for its global customers. GF ​​employs approximately 13,000 people, including more than 3,000 in Dresden. Further information can be found at www.gf.com. About the area The CFM Metrology TEST department is responsible for the manufacturing control methods and the operation of all measurement and inspection equipment at Fab1 in Dresden. It ensures the operation of devices and systems required for acquiring, monitoring, and analyzing measurement data (e.g., substrate thickness,...

Olin is a global chemical company and a leading producer of chlor-alkali products, epoxy resins and chlorinated hydrocarbons. Founded in North America in 1892, Olin today employs more than 7,800 people in more than 15 countries. Our products are the basis for a wide range of applications in everyday life, from semiconductor electronics to automotive coatings and wind turbines. We are committed to fostering a workplace where every employee is treated with dignity, fairness, and respect, empowered to contribute with their unique perspectives. We act with integrity every day and operate responsibly and sustainably. We are always looking for talented people to join our team. In return, we offer exciting tasks, attractive compensation plans, and we provide excellent social benefits. Apply today to join our team as... Product Marketing Specialist EMEAI (m/w/d) (for Allylics, Aromatics and Resins) at our location in   Schwalbach am Taunus   (permanent and...

You matter to us! Dr. Dienst & Partner is part of a successful group of auditing and tax consulting firms. This group also includes a law firm, an IT consulting firm, and a management consultancy. More than 300 colleagues work together on exciting national and international projects. You can look forward to a secure job with varied tasks. A good salary, great benefits, and individual professional development opportunities are a given for us. Our employees appreciate this – they rate us 4.5 stars on Kununu. We are increasingly relying on AI-powered solutions to make internal processes more efficient and to offer our clients a modern service. To further implement our AI strategy, we are looking for a technically skilled individual at our Koblenz location who can reliably develop, operate, and advance large-language model-based applications. Your tasks: You will independently develop, operate, and optimize our LLM-based applications, which are...

contact Verena Kral University Recruiter info City/Region Munich (Germany) Entry Level Interns Employment Type Full-time, temporary Ref. Number 16576 Join our Signaling Testing Division in Munich (Germany) at the earliest possible date. We are seeking a motivated and talented master student to join our development team. This is a thesis option for students currently pursuing a master's degree in Computer Science, Software Engineering, or a related field. The ideal candidate will have a strong foundation in Python programming, object-oriented programming principles, and experience with source control tools like Git and ticket management systems such as Jira. Your tasks Collaborate with the research team on various AI/ML projects, contributing to the development and implementation of innovative solutions. Design, train, and optimize AI models using frameworks such as PyTorch and TensorFlow. Collect,...

adjoe is a leading mobile ad platform developing cutting-edge advertising and monetization solutions that take its app partners’ business to the next level. Part of the applike group ecosystem, adjoe is home to an advanced tech stack, powerful financial backing from Bertelsmann, and a highly motivated workforce to be reckoned with. Meet Your Team:   Programmatic Data Science Did you know that in-app ads are sold in a real-time auction before they get rendered in thousands of mobile apps? Dozens of ad networks compete for every single view, choosing their best ad and deciding what price to bid in just a couple hundred milliseconds. We at adjoe have developed our own ad network that takes part in this competition, going against industry giants to present its own ads. In the competitive real-time bidding landscape, the Programmatic Data Science team operates at a rapid pace, developing cutting-edge algorithms, to create systems that outperform industry giants. Our approach is deeply...

Location:   Berlin, Germany (hybrid:   3 days in-office , 2 days remote) Join Nomitri and help bring real-world AI systems into production. We deploy computer vision solutions into retail environments across multiple countries — operating in complex edge + cloud setups and processing millions of events daily. We are looking for a Machine Learning Engineer to support the ML team in bringing state-of-the-art machine learning models to production. We work on object detection, scene understanding, self-supervised learning, temporal models, representation learning, model compression, efficient architectures and many other exciting topics. You will contribute to a broad spectrum of topics ranging from implementing research ideas over improving our training and deployment pipelines to enhancing our data quality and efficiency. What you’ll do: You will cover all phases of the ML life cycle and production-grade development Assess and solve new ML use cases Go...

Daisytuner is building the software layer for the next generation of computing. We make complex software run efficiently on any processor from CPUs and GPUs to novel accelerators using a self-learning compiler and cloud-scale optimization infrastructure. Our team brings together researchers and engineers from RWTH Aachen, TU Munich, TU Darmstadt, and ETH Zurich to tackle some of the hardest problems in systems and infrastructure software. If you want to work on deeply technical challenges with real-world impact, join us and help shape the future of compute. As a Machine Learning Engineer at Daisytuner, you will work at the intersection of compilers, hardware, and performance. Your work will help us build intelligent systems that understand complex program behavior and improve how software runs on modern processors. You will apply machine learning to structured program representations, compiler transformations, and real-world performance measurements. What you will be doing...

Location:   Berlin, Germany (hybrid:   3 days in-office   , 2 days remote) Join Nomitri and help bring real-world AI systems into production. We deploy computer vision solutions into retail environments across multiple countries — operating in complex edge + cloud setups and processing millions of events daily. We're looking for a highly analytical, hands-on engineer who enjoys   digging into complex systems   , solving real-world problems, and growing into a key role at the intersection of   support, infrastructure, and AI systems   . What you'll do Monitor and analyze live systems across stores using logs, telemetry, and video data. Investigate and resolve issues in real-world environments (networking, configuration, hardware, deployments). Support and validate deployments — from preparation to rollout in production. Act as a technical interface to customers during rollouts and incident resolution. Work closely with engineering to identify root...

Who we are At Supermodular AI, we help enterprises navigate AI Transformation. We believe in strategy through execution. Most organizations understand the potential of AI, but struggle to translate that ambition into real operational change. The challenge is rarely the technology itself. It is how AI fits into complex systems, workflows, and engineering organizations that have evolved over years. We believe AI transformation cannot be designed purely in strategy documents. The real strategy only emerges by building, deploying, and operating AI systems inside the organization. That's why we work directly with enterprise IT and software teams to design and implement AI systems in real environments. This includes enabling engineering organizations to work in fundamentally new ways by introducing AI-native development practices, frameworks, and technical assets that change how teams build and operate software. It also includes building custom AI systems that unblock...

About Octonomy.ai: We at octonomy are not your typical AI startup: We have big plans – and with the successful completion of one of Europe's largest seed funding rounds (USD 20 million), we're laying the foundation to consistently scale our vision. Our mission is clear: We transform companies with the most intelligent digital workforce, enabling them to unlock a new era of growth with us as their partner. Our AI octo-workers automate business processes with the highest quality – reliably, securely, and without hallucinations. Well-known clients already trust us, and our growth is accelerating steadily – both nationally and internationally. Your role: As an AI Solution Manager, you will successfully bring our AI platform to the customer – from the initial idea to productive implementation. You will take over projects after the sales process and transform requirements into functional, stable AI solutions. You will work at the interface between business and IT – but above...

The German Cancer Research Center (DKFZ) is one of the largest cancer research centers in Europe. "Research for a life without cancer" is our mission, and our world-class scientists work together with all employees to achieve this. We investigate how cancer develops, identify cancer risk factors, and search for new strategies to prevent people from developing cancer. We develop new methods for more precise tumor diagnosis and more successful treatment of cancer patients. Every contribution counts – whether in research, administration, or infrastructure. This is what makes our daily work so meaningful and exciting . Do you want to take on responsibility, introduce modern technologies and make existing systems fit for the future? Then you've come to the right place. We are looking for someone to join our   Core Facility Information Technology (ITCF)   as soon as possible. AI Application Developer (m/f/d) – Chatbots, RAG & System Integration...

Your Role Work in close collaboration with the Deployment team on the full development cycle of one or more software components for automated off-road driving and their application to real-world vehicle platforms. Depending on your interests and the team’s priorities, your focus may include: Feature development, profiling and benchmarking of software components like The driveblocks off-road 3D state estimation module The sensor (camera/LiDAR/IMU, …) drivers Enabling continuous integration pipelines on target compute platforms (e.g., NVIDIA-based and others). Software release preparations and functional testing. Data management for AI module re-training; involvement in data recording activities in off-road environments. Maintenance of our development vehicles. Preparation and involvement in demos for customers and investors. Your work directly contributes to safely operating heavy machinery in real-world environments. Your Background...