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Skyflow secures the flow of data across datastores, models, and agents. Enterprises turn to Skyflow as their runtime AI data control layer to protect sensitive data, enable safe AI deployment, and unlock full value…
Новая локация офиса: В ноябре переезжаем в новый офис в Сколково. Сейчас работаем на Соколе - пожалуйста, учитывайте это при отклике на вакансию. Обязанности: Выстраивать ML-инфраструктуру совместно с DevOps и MLE для…
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI/ML Engineer SME based in the United States. The AI/ML Engineer SME will serve as a…
Навыки: Docker, Cuda, CI/CD, Kubernetes, LLM. Специализации: MLOps-инженер. Хотите стать частью увлекательного процесса цифровой трансформации? Блок IT в СОГАЗ активно развивается и меняет подход к созданию продуктов.…
Solutions Architect at a cloud platform company, advising enterprise AI customers on deploying and scaling GPU workloads for ML training and inference using Nebius’s AI cloud services.
Builds and deploys AI/ML prototypes on a cloud platform, supports enterprise customers through technical onboarding, and feeds insights into product development.
Designs and advises on cloud infrastructure and MLOps solutions for AI/ML teams, leveraging GPU cloud platforms and modern frameworks to optimize training and inference workloads.
Designs and creates technical tutorials, sample code, and reference architectures to teach developers how to use Nebius' AI cloud infrastructure, including VMs, GPU clusters, and Kubernetes.
Designs and implements cloud infrastructure and MLOps solutions for AI teams, advising on GPU orchestration, Kubernetes, and IaC tools like Terraform.
Creates tutorials, sample code, and video demos to teach developers how to use Nebius’ AI cloud platform (VMs, GPU clusters, Kubernetes, SLURM) and explains best practices for ML infrastructure.
The Principal Solutions Architect will lead technical presales and solution design for strategic customers in Japan, focusing on large-scale AI/ML infrastructure and GPU-accelerated cloud workloads. The role involves acting as a trusted advisor to executive stakeholders and collaborating with internal product and engineering teams to drive adoption of the Nebius AI cloud platform.
Get to know our Team: GrabFin is an aggregate of FinTech businesses spread across 6 countries in South East Asia, in the Payments, Lending and Insurance domains. We station our engineering teams in Bangalore,…
Architect scalable AI/ML solutions for an enterprise modernization initiative, focusing on cloud infrastructure, MLOps, and the full ML lifecycle.
Lead the architecture and implementation of scalable AI/ML pipelines and LLM-based systems using Python, cloud platforms, and MLOps practices for enterprise clients.
Build and operate the cloud and platform infrastructure for enterprise AI solutions powered by Claude/Anthropic at a ServiceNow consulting partner, spanning LLMOps, RAG pipelines, containers, CI/CD, and ServiceNow integrations.
Builds and maintains scalable AI platforms integrating Anthropic’s Claude models, enabling secure, governed enterprise AI solutions with RAG, agentic workflows, and enterprise data integrations.
Builds and operates secure, scalable AI platforms for enterprise LLM apps, RAG, and agentic workflows using cloud-native tools and ServiceNow integrations.
AI Platform Engineer building secure, scalable cloud infrastructure for Claude-powered enterprise AI solutions on ServiceNow, spanning LLMOps, RAG pipelines, DevOps, and governance across AWS/Azure/GCP.
Lead a data-science team at Roche’s India center, architecting predictive, causal, and generative-AI solutions for global healthcare teams while mentoring engineers and driving enterprise MLOps pipelines.
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