Cloud Devops Engineer (Ai Solutions)(M/F/D)
Responder al anuncioABOUT USAt BASF Digital Hub Madrid we develop innovative digital solutions for BASF, create new exciting customer experiences and business growth, and drive efficiencies in processes, helping to strengthen BASF´s position as the digital leader in the chemical industry. We believe the right path is through creativity, trial and error and great people working and learning together. Become part of our team and develop the future with us - in a global team that embraces diversity and equal opportunities. WHAT YOU CAN EXPECTDigitalization will be a true part of BASF’s DNA that creates new exciting customer experiences and business growth as well as drives efficiencies in processes. Global Digital Services is supporting BASF business in Digitalization transformation. Our mission is to drive forward the digital transformation of BASF, providing innovative, global and high-quality digital products and services through a strong agile culture. The Digital Hub Madrid is one of our global key locations to deliver regional and global solutions for BASF. Within our Product Family Digital Commerce & Advisory we enable the digitalization of the way we interact with our customers. Our team “AI for Commerce” is providing solutions that create new levels of user experience and high degrees of automation, using the latest innovations in AI. We work innovatively with high quality standards to provide an exciting customer experience. We value reliability, trust and transparency and a great working culture. We strive for Commitment, Focus, Openness, Respect, and Courage on all levels. We are currently seeking an experienced Cloud DevOps Engineer with a strong background in setting up and managing infrastructure for AI solutions to join our growing team of AI Enthusiasts. In this role, you will play a critical role in advancing our AI initiatives by creating a robust, secure, scalable, and efficient infrastructure for our large-scale AI solutions, preferably using Microsoft Azure Cloud services. If you are passionate about Large Language Models and AI in general, have a strong background in Cloud Engineering and enjoy working on cutting-edge topics, we want to hear from you!RESPONSIBILITIESDesigning, implementing, and maintaining cloud-based infrastructure for fine-tuning, (re)training and deploying large language models and other state-of-the-art AI modelsCollaborating with AI researchers, data scientists, and other stakeholders to understand infrastructure requirements and optimize resource utilization. Automating and streamlining the deployment, monitoring, and scaling of AI models and AI applications within Microsoft AzureEnsuring the security, reliability, and performance of the infrastructure, including data storage, compute resources, and network configurationsContinuously improving and optimizing the infrastructure to support the development and deployment of state-of-the-art AI models. Sharing your knowledge and expertise with colleagues and promoting a culture of innovation and excellence within the organizationQUALIFICATIONSDegree in Computer Science, Information Technology, or a related fieldExcellent problem-solving, critical thinking, and communication skillsStrong experience with cloud platforms, preferably Microsoft Azure, including services such as Azure Machine Learning, Azure Kubernetes Service, and Azure StorageAt least 5+ years’ experience in DevOps with Cloud administrationProficient in infrastructure as code (IAC) tools, such as Terraform or ARM templates, and configuration management tools like Ansible or ChefSolid experience with script languages like Bash or PythonSolid understanding of DevOps principles, practices, and tools, including continuous integration, continuous deployment, and monitoringFamiliarity with containerization technologies such as Docker, and orchestration tools like Kubernetes or Docker SwarmContinuous learning to keep up with the rapid technological developments in the field. Strong operation experience with LinuxStrong debugging and troubleshooting skillsNICE TO HAVEProven track record of successful infrastructure operations, preferably in an industrial or corporate research settingRelevant certifications, such as Microsoft Certified: Azure DevOps Engineer Expert or Azure Administrator AssociateExperience with other cloud platforms, such as AWS or Google CloudPrior experience working with large language models or AI infrastructure. Knowledge of data engineering and preprocessing, including handling large datasets and ensuring data qualityFamiliarity with AI ethics and responsible AI practicesBENEFITSA secure work environment because your health, safety and wellbeing is always our top priority. Flexible work schedule and Home-office options, so that you can balance your working life and private life. Learning and development opportunities23 holiday days per year5 additional days (readjustment)2 cultural daysA collaborative, trustful and innovative work environmentBeing part of an international team and work in global projectsRelocation assistance to Madrid providedAt BASF, the chemistry is right. Because we are counting on innovative solutions, on sustainable actions, and on connected thinking. And on you. Become a part of our formula for success and develop the future with us - in a global team that embraces diversity and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief. #J-18808-Ljbffr
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