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.
Aufgaben
Build and operate the infrastructure behind our ML pipelines and video data processing tools
Manage GPU clusters, model deployment and continuous training workflows
Design and maintain CI/CD for ML — automating builds, testing and releases
Orchestrate and monitor distributed systems for stability and performance
Collaborate with data scientists to bridge research and production — enabling reproducible, scalable experiments
Continuously improve system reliability, observability and fault tolerance
You make advanced AI systems run like clockwork — turning complex ML research into dependable, production-grade infrastructure.
Profil
5–7 years experience running large-scale ML or data systems in production
Deep 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-code
Able to communicate effectively with data scientists and anticipate their needs
Pragmatic, reliable and comfortable balancing ML experimentation with engineering rigor
Nice to have
Experience with big data pipelines or streaming video data
Familiarity with RedHat, Debian or CentOS environments
Background in GPU cluster management and distributed training
Interest in performance optimisation and inference efficiency
Wir bieten
Location
Onsite Berlin
Employment Type
Full time
Location Type
Hybrid
Department
Engineering
Why this role matters
What We Offer
A competitive salary \& stock options
The option to work in a brand new office situated on the AI Campus in Berlin where we closely cooperate with other exciting AI ventures
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360° feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software
Don'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.
Important note
Please be advised that a valid work permit for Germany is required for non-EU citizens. Unfortunately, applications without a valid work permit and sufficient German language skills may not be considered.
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