ML Ops Engineer

Ericsson; Linköpings kommun; On-site; SEK 800,000 - 1,100,000; Full time

Job summary

Ericsson seeks an MLOps Engineer to support AI infrastructure on the Sferical.ai platform. You will bridge AI teams and infrastructure, ensuring 216+ GPUs are used efficiently, securely and reliably.

You’ll troubleshoot complex systems and enable smooth AI workload execution in a governed enterprise environment. You will operate GPU orchestration, troubleshoot Kubernetes, manage data movement (S3/NFS), monitor health and contribute to capacity planning.

Qualifications

• Experience with Kubernetes-based workload orchestration and RBAC.
• Hands-on experience with GPU scheduling platforms and AI workloads.
• Strong data pipeline and storage handling capabilities (S3/NFS).
• Knowledge of enterprise security, access controls and compliance workflows.

Responsibilities

• 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

Skills

Kubernetes

GPU scheduling

Distributed training

Data pipelines

Security & compliance

Troubleshooting infra

RBAC

Tools

Run:ai

S3

NFS

VAST Data

NVIDIA platforms

Slurm

Job description

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.

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