MLOps / DevOps Engineer (m/f/d)

We’re looking for an ML / DevOps Engineer to own the infrastructure powering our AI systems — ensuring that data pipelines, training clusters and deployed models run fast, reliably and at scale.What You’ll DoBuild and operate the infrastructure behind our ML pipelines and video data processing toolsManage GPU clusters, model deployment and continuous training workflowsDesign and maintain CI/CD for ML — automating builds, testing and releasesOrchestrate and monitor distributed systems for stability and performanceCollaborate with data scientists to bridge research and production — enabling reproducible, scalable experimentsContinuously improve system reliability, observability and fault toleranceYou are5–7 years experience running large-scale ML or data systems in productionDeep understanding of cloud infrastructure (AWS/GCP/Azure) and container orchestration (Kubernetes, Docker)Strong sysadmin fundamentals — Linux internals, networking, storage and configuration management (Ansible, Terraform, Consul, Zookeeper, etc.)Experienced in building CI/CD pipelines and infrastructure-as-codeAble to communicate effectively with data scientists and anticipate their needsPragmatic, reliable and comfortable balancing ML experimentation with engineering rigorNice to haveExperience with big data pipelines or streaming video dataFamiliarity with RedHat, Debian or CentOS environmentsBackground in GPU cluster management and distributed trainingInterest in performance optimisation and inference efficiencyWhy this role mattersYou make advanced AI systems run like clockwork — turning complex ML research into dependable, production-grade infrastructure.What We OfferA competitive salary & stock options*Be on the forefront in defining what artificial intelligence means in manufacturingGain hands-on experience in working in an AI-first software companySupportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the companyCollaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impactNetwork with professionals and leaders in the field, opening doors to potential future career opportunitiesWe have a very flat hierarchy, open 360° feedback, and flexible working hoursEthics⚖: We are committed to developing ethical AI softwareDon't meet all the requirements?Deltia is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options;