{"id":3657736,"url":"https://alion.io/job/ericsson-ml-ops-engineer","title":"ML Ops Engineer","company":{"id":56456,"name":"Ericsson","domain":"ericsson.com","url":"https://alion.io/company/ericsson","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":86,"open_postings":103,"ghost_share":0.019,"stale_share":0.476,"repost_share":0.049,"time_to_fill_p50_days":35,"computed_at":"2026-11-04T06:34:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Stockholm, Sweden","Linköping, Sweden"],"countries":["SE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Kubernetes","optional":false},{"name":"SLURM","optional":false}],"status":"live","first_seen_at":"2026-08-06T18:06:00Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-04T07:34:59Z","board_verified":true,"closed_at":null,"days_open":89,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":89},"description":"Join our Team\nAbout this opportunity:\nWe'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.\nWhat you will do:\nOperate and monitor GPU workload orchestration using Run:ai, managing projects, queues, resource allocation and job submissions\nTroubleshoot Kubernetes clusters, including pod scheduling, storage connectivity, deployments and runtime issues\nSupport data movement across storage systems (S3, NFS) and manage access controls through enterprise identity systems\nMonitor infrastructure health, track GPU utilization and produce capacity reports for planning and governance\nCoordinate with users, internal teams and external support vendors to resolve incidents and process change requests\nPrepare infrastructure for future scaling, including Kubernetes upgrades, inference enablement and security integrations\nCreate operational guides, dashboards and documentation to help teams navigate the platform\nThe skills you bring:\nStrong hands-on experience with Kubernetes, pod scheduling, RBAC, storage management and API-based troubleshooting\nWorking knowledge of GPU scheduling platforms, distributed training and AI workload patterns\nPractical experience with object storage (S3), NFS, data pipelines and large-scale data movement\nUnderstanding of enterprise security, access controls, compliance workflows and governed network environments\nExperience troubleshooting across infrastructure layers-networking, storage, containers and applications\nStructured, security-conscious mindset comfortable in restrictive and approval-driven environments\nExperience with VAST Data, Run:ai, NVIDIA platforms, Slurm or distributed training frameworks is a plus\nWhy 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.\nWhat 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. 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