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Senior DevOps Engineer builds and maintains Azure-based cloud infrastructure, CI/CD pipelines, and Kubernetes clusters for an energy-sector software company.
Designs and maintains Azure cloud infrastructure and Kubernetes clusters, automates CI/CD pipelines, and secures containerized applications for an energy-sector software platform.
Senior Enterprise AI Partner & Product Manager at AMD owning the ISV partnership ecosystem strategy and full lifecycle of AMD's AI appliance portfolio (e.g., Instinct Coder), spanning AMD silicon (MI300X, MI325x, MI350) and AI serving frameworks like vLLM, TensorRT, and ONNX Runtime.
Build and optimize the production systems that serve Dialpad’s AI models at scale, focusing on low-latency inference, GPU utilization, and reliable deployment on NVIDIA GPUs in GCP.
Senior Forward Deployed Software Engineer on ServiceNow's Applied AI team, building and deploying production LLM-powered applications end-to-end for strategic enterprise customers in London, spanning backend services, orchestration pipelines, and front-end integrations.
Build production agentic AI systems and data pipelines on AMD Instinct GPU infrastructure, including agent orchestration, memory/context databases, skills frameworks, and evaluation infrastructure using Python, Kubernetes, and LLM serving stacks like vLLM and SGLang.
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies…
Embedded Cloud & Customer Solutions Engineer at AMD’s AI team, owning end-to-end deployment and production support of AMD Instinct GPU clusters for AI customers. Focuses on cluster bring-up, performance tuning, incident resolution, and transferring operational expertise to customers while contributing field insights to AMD’s open-source and product teams.
The Developer Relations Engineer will build technical documentation, benchmarks, and reference architectures to help users scale AI workloads on Andromeda's infrastructure. This is a hands-on engineering role that involves writing code, debugging production issues, and shaping the developer experience for AI labs and infrastructure teams.
Designs and builds production-grade AI agents for enterprise revenue workflows, combining deep ML expertise with hands-on agent architecture, reasoning loops, and guardrails in a hybrid Bangalore role.
IT компания Riverstart — аккредитованы в Минцифры, входим в реестр МТК, являемся участником Торгово-промышленной палаты РФ и Нижнего Новгорода. С 2024г разрабатываем решения в области видео-аналитики, AI и ML.…
LSports is a world-leading sports data provider, trusted by sportsbooks worldwide to deliver real-time data with unmatched accuracy and reliability. With technology that drives smarter trading and deeper engagement, we…
Senior Data Scientist building AI retrieval and knowledge infrastructure for rare disease research, spanning biomedical knowledge models, semantic/vector search, ranking systems, and full-stack deployment using PostgreSQL, Python, LLMs, and Next.js/React.
Обязанности: Готовить LLM и другие генеративные модели к промышленному запуску; Выбирать inference-движок с учетом архитектуры модели, оборудования и требований продукта; Создавать воспроизводимые контейнерные образы и…
Build and operate large language model serving infrastructure at scale using Python, Kubernetes, and cloud platforms, applying site reliability engineering practices to AI platforms at J.P. Morgan.
Проектировать и развивать AI Gateway: единый доступ к внешним и внутренним LLM, маршрутизация запросов, лимиты, фоллбэки, контроль стоимости, аутентификация и ролевая модель доступа Развивать платформу LLM-инференса:…
Привет! Это команда Возвраты ML. Мы ищем талантливого Data Scientist/ML Engineer в новую ML-команду отдела «Возвраты маркетплейса». Отдел занимается обработкой и модерацией возвратов покупателя и продавца, аннуляциями,…
Команда развивает AI-трансформацию блока «Финансы». Наши решения работают с задачами ценообразования на портфельном и индивидуальном уровне, единых трансфертных ставок банка, бизнес-планирования и других финансовых…
Own the end-to-end ML model lifecycle—training data, fine-tuning, evaluation, and release—for an on-premise LLM system that runs on customer hardware inside OPSWAT's MetaDefender Core cybersecurity platform. Core tech: Python, LLM fine-tuning (LoRA/QLoRA), inference serving (vLLM, Ollama), and integration with a Rust production service.
The AI Engineer will develop and deploy multi-agent systems using LLMs, LangChain, and LangGraph to automate financial processes. The role involves building RAG pipelines, optimizing prompts, implementing LLMOps, and ensuring production-grade observability and evaluation for AI agents.
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