This job has expired
This position was posted on November 12, 2025 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!
Job Overview
Location
Berlin
Job Type
Full-time
Category
Data Science
Date Posted
November 12, 2025
Full Job Description
đź“‹ Description
- • Own the end-to-end infrastructure that turns cutting-edge AI research into rock-solid production systems. You will architect, build and operate the backbone of Deltia’s AI platform, ensuring that every data pipeline, GPU cluster and deployed model runs at peak performance 24/7.
- • Design, deploy and maintain Kubernetes-based GPU clusters that power distributed training jobs and real-time inference services. You will automate cluster provisioning, autoscaling and node lifecycle management so that data scientists can spin up experiments in minutes, not days.
- • Build and harden CI/CD pipelines tailored for machine-learning workflows. From containerised training images to model registry and canary releases, you will automate every step so that new models reach production safely, quickly and with full traceability.
- • Orchestrate multi-terabyte video data ingestion, preprocessing and feature-store pipelines. You will optimise storage tiers (hot, warm, cold), enforce data-quality checks and guarantee low-latency access for both training and inference workloads.
- • Implement comprehensive observability: metrics, structured logging, distributed tracing and alerting that give both engineers and researchers a single pane of glass into system health. You will define SLIs/SLOs and drive incident-response playbooks to keep availability above 99.9 %.
- • Partner daily with data scientists to translate experimental notebooks into reproducible, versioned pipelines. You will package dependencies, pin environments and provide self-service tooling that lets researchers iterate fast without breaking production.
- • Continuously improve reliability, security and cost efficiency. You will benchmark GPU utilisation, right-size cloud resources, introduce chaos-engineering tests and champion infrastructure-as-code reviews to keep technical debt near zero.
- • Champion ethical and secure AI operations. You will embed privacy controls, model-audit trails and compliance checks into every layer of the stack, ensuring that Deltia’s AI solutions remain trustworthy and regulation-ready.
- • Contribute to an open, feedback-driven culture. Whether through blameless post-mortems, lunch-and-learn sessions or 360° reviews, you will help shape best practices that scale with the team and the company.
- • Stay on the leading edge. Evaluate new orchestration tools, GPU architectures and MLOps frameworks; run proof-of-concepts and present findings so that Deltia continues to out-innovate competitors in the manufacturing AI space.
🎯 Requirements
- • 5–7 years of hands-on experience running large-scale ML or data-intensive systems in production environments
- • Expert-level knowledge of cloud platforms (AWS, GCP or Azure) and container orchestration with Kubernetes and Docker
- • Solid Linux sysadmin skills: deep understanding of networking, storage, security and configuration management using tools like Ansible, Terraform, Consul or Zookeeper
- • Proven track record designing CI/CD pipelines and managing infrastructure-as-code for reproducible, automated deployments
- • Nice-to-have: experience with big-data or streaming-video pipelines, familiarity with RedHat/Debian/CentOS, background in GPU cluster management and distributed training, passion for performance optimisation and inference efficiency
🏖️ Benefits
- • Competitive salary plus stock-option package that lets you share directly in Deltia’s growth and success
- • Brand-new office on the AI Campus in Berlin, surrounded by pioneering AI ventures and buzzing with cross-company collaboration
- • Flat hierarchy, flexible working hours and open 360° feedback culture that values every voice
- • Work at the forefront of ethical AI for manufacturing, gaining hands-on experience in an AI-first software company alongside a diverse, 10+ nationality team
Skills & Technologies
About Deltia Robotics GmbH
Deltia Robotics builds computer-vision systems that digitize manual assembly lines. Cameras mounted above workstations capture every hand movement and part placement; AI models running on the edge detect errors, measure cycle times, and guide operators in real time. The platform delivers granular process data to engineers and integrates with MES and ERP suites. Founded in 2021 and headquartered in Berlin, the company serves automotive, electronics, and medical-device manufacturers seeking to cut defect rates and accelerate continuous-improvement programs without altering existing tooling.
Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.
Newsletter
Weekly remote jobs and featured talent.
No spam. Only curated remote roles and product updates. You can unsubscribe anytime.
Similar Opportunities
Future of Life Institute
2 months ago
Fundamental
2 months ago
GE Aerospace
7 months ago
RareStep, Inc.
8 days ago