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 do

• 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 are

• 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

Why this role matters
You make advanced AI systems run like clockwork — turning complex ML research into dependable, production-grade infrastructure.

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.