Real job — pulled straight from Ericsson’s careers page · Verified November 4, 2026 · No reposts.
Job description
Ericsson is hiring a Machine Learning Operations Engineer — a full-time, based in Stockholm, Sweden role. Apply directly on Ericsson's careers page below.
ML Ops Engineer
Location: Stockholm,Stockholm,Sweden, Linköping,Östergötland,Sweden
Department: 76 Product Development
Work Location: hybrid
Join our Team
About this opportunity:
We're seeking an MLOps Engineer to support Ericsson's AI infrastructure operations on the Sferical.ai platform. You'll be the technical bridge between our AI teams and infrastructure, ensuring 216+ GPUs are used efficiently, securely and reliably. This role focuses on operational excellence, troubleshooting complex systems and enabling smooth AI workload execution in a governed enterprise environment.
What you will do:
- Operate and monitor GPU workload orchestration using Run:ai, managing projects, queues, resource allocation and job submissions
- Troubleshoot Kubernetes clusters, including pod scheduling, storage connectivity, deployments and runtime issues
- Support data movement across storage systems (S3, NFS) and manage access controls through enterprise identity systems
- Monitor infrastructure health, track GPU utilization and produce capacity reports for planning and governance
- Coordinate with users, internal teams and external support vendors to resolve incidents and process change requests
- Prepare infrastructure for future scaling, including Kubernetes upgrades, inference enablement and security integrations
- Create operational guides, dashboards and documentation to help teams navigate the platform
The skills you bring:
- Strong hands-on experience with Kubernetes, pod scheduling, RBAC, storage management and API-based troubleshooting
- Working knowledge of GPU scheduling platforms, distributed training and AI workload patterns
- Practical experience with object storage (S3), NFS, data pipelines and large-scale data movement
- Understanding of enterprise security, access controls, compliance workflows and governed network environments
- Experience troubleshooting across infrastructure layers—networking, storage, containers and applications
- Structured, security-conscious mindset comfortable in restrictive and approval-driven environments
- Experience with VAST Data, Run:ai, NVIDIA platforms, Slurm or distributed training frameworks is a plus
Why join Ericsson?At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Stockholm
Req ID: 789078
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Frequently asked questions
What skills are required for Machine Learning Operations Engineer at Ericsson?
The required skills for Machine Learning Operations Engineer at Ericsson include: Kubernetes, S3, Python.
What is the seniority level for Machine Learning Operations Engineer at Ericsson?
Machine Learning Operations Engineer at Ericsson is a Mid Level level position.
How do I apply for Machine Learning Operations Engineer at Ericsson?
You can view the full description and apply for Machine Learning Operations Engineer at Ericsson on EchoJobs: https://echojobs.io/job/ericsson-ml-ops-engineer-9l96u.