AI/ML Specialist Solutions Architect

ppbAbout Nebius: /b /p pNebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. /p pBuilt by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. /p pListed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with RD hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI RD. /p h3bThe role /b /h3 pWe seek an experienced Specialist Solutions Architect to support AI-focused customers leveraging Nebius services. In this role, you will be a trusted advisor, collaborating with clients to design scalable AI solutions, resolve technical challenges and manage large-scale AI deployments involving hundreds to thousands of GPUs. /p pYou’re welcome to work on-site in Amsterdam or remotely from any other EU country. /p pbYour responsibilities will include: /b /p ul liDesigning customer-centric solutions that maximize business value and align with strategic goals. /li liBuilding and maintaining long-term relationships to foster trust and ensure customer satisfaction. /li liDelivering technical presentations, producing whitepapers, creating manuals and hosting webinars for audiences with varying technical expertise. /li liCollaborating with engineering and product teams to effectively prioritize and relay customer feedback. /li /ul pbWe expect you to have: /b /p ul li3+ years of experience with cloud technologies in MLOps engineering, Machine Learning engineering or similar roles. /li liStrong understanding of ML ecosystems, including models, use cases and tooling. /li liProven experience in setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments. /li liHands-on knowledge of frameworks like PyTorch or JAX. /li liExcellent verbal and written communication skills. /li /ul pbIt will be an added bonus if you have: /b /p ul liExpertise in deploying inference infrastructure for production workloads. /li liAbility to transition ML pipelines from POC to scalable production systems. /li /ul pbPreferred tooling: /b /p ul liProgramming Languages – Python, Go, Java, C++ /li liOrchestration – Kubernetes (K8s), Slurm /li liDevOps Tools – Git, Docker, Helm /li liInfrastructure as Code (IaC) – Terraform /li liML Frameworks and Libraries – PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn /li /ul pbBenefits Perks: /b /p ul liCompetitive compensation /li liCareer growth and learning opportunities /li liFlexibility and ownership /li liCollaborative and innovative culture /li liOpportunity to work on impactful AI projects /li liInternational environment and talented teams /li /ul pbWhat's it like to work at Nebius: /b /p pFast moving- Bold thinking- Constant growth- Meaningful impact- Trust and real ownership- Opportunity to shape the future of AI /p h3bEqual Opportunity Statement: /b /h3 pNebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to … AI/ML Specialist Solutions Architect — Nebius. /p /p #J-18808-Ljbffr