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*
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.
*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;
Top Skills
What We Do
AI-based process analytics platform to increase productivity and quality in manual shop-floor processes. Processes are captured using computer vision and automatically analysed with a highly flexible AI to identify improvement potential.
1. Real-time capture with cameras
Cameras are installed at individual assembly stations capturing live video streams of assembly or packaging tasks.
2. AI tracks material & work steps
Video streams are continuously analyzed to detect workpiece movements, cycle times, and work step sequencing.
3. Aggregation for data analysis
Process data is aggregated per article and production to provide insights on process performance. Video snippets allow for a comprehensive root-cause analysis.
4. Data-driven improvements
Your factory managers and process engineers define, implement and measure process improvements to increase productivity and quality in your assembly line.
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