Solutions Architect
Core
Design and implement cutting-edge cloud infrastructure and MLOps solutions for clients, acting as a trusted technical advisor to optimize AI/ML pipelines at massive GPU cloud scale.
Role type
Senior Solutions Architect (Cloud Infrastructure & MLOps)
Builds
Production-ready AI/ML pipelines and infrastructure solutions for enterprise clients (via careerplan.io/jobs/4376580101-solutions-architect-at-nebius)
Domain
Cloud Infrastructure, MLOps, GPU Computing, AI/ML
Deliverable
production ML models | product features
Required skills
Cloud solutions architecture, Infrastructure as Code (Terraform/Ansible), Kubernetes, Python programming, GPU computing practices, ML training and inference workloads, CUDA/OpenCL
Preferred skills
HPC/ML orchestration frameworks (Slurm, Kubeflow), Deep learning frameworks (TensorFlow, PyTorch), Cloud ML tools landscape (NVIDIA, AWS, Azure, Google)
Responsibilities
Act as a trusted advisor to clients providing technical expertise and guidance; Conduct PoCs, workshops, presentations, and training sessions; Collaborate with clients to design and document Infrastructure as Code solutions; Help customers optimize pipeline performance and scalability; Act as a single point of expertise for product, technical support, and marketing teams.
Seniority
Senior, hands-on IC
