Verified by our engine · Posted 1w ago

Ericsson

ML Ops Engineer

Ericsson · 76 Product Development

Stockholm

Mid-level

AI / MLKubernetes

Last seen 1h ago

Posted
1w ago

Posted on 2 November 2026

Workplace
Hybrid

Work model: Hybrid

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

Visa sponsorship details unknown

Listing history No signals observed

First seen 2 Nov 2026. Last checked 9 Nov, 22:17 UTC. We read each employer's own career page on a cycle and record what changes; this is what we observed, not a verdict on the role.

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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

About Ericsson

Ericsson's European engineering spreads across Budapest, Stockholm, Kraków and Reading. Telecom infrastructure at global scale — Stockholm carries the founding engineering culture, Budapest and Kraków the larger current headcount.

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