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Build and deploy LLM-powered tools, RAG systems, and agentic workflows for autonomous aircraft systems, focusing on retrieval quality, tool integrations, and production-grade AI infrastructure on Kubernetes.
ML engineer builds and optimizes RAG pipelines, fine-tunes VLM for technical docs, and prepares on-prem LLM/VLM inference for an AI platform serving engineers.
推理服务部署与优化：负责大语言模型、多模态模型在生产环境中的推理部署与性能优化，基于 vLLM、SGLang、TensorRT-LLM 等主流推理框架，建设并优化推理服务能力； 推理链路性能调优：负责模型推理全链路优化，包括推理加速、批处理调度、KV Cache 优化等，持续提升吞吐、降低延迟、减少 GPU 资源成本；系统性降低硬件延迟瓶颈，保障高并发下线上服务稳定性；…
团队介绍：Global Ads Infra 团队面向字节跳动国际化广告业务，构建贯通全球广告主与海量流量的高并发、高性能、高可用广告基础架构与业务中台。我们长期深耕广告投放系统、算法服务与深度学习工程，打造了覆盖多地区、多数据中心的全球化广告系统架构，并在大规模分布式训练、极致低时延在线推理、异构算力统一调度和编译优化等方向形成了体系化技术能力。面向大模型时代，我们将推荐大模型、AIGC…
Design enterprise-grade Kubernetes architectures for AI/ML workloads, lead client workshops, and create reusable blueprints to deploy AI systems in production.
Build and deploy LLM systems for banking, evaluating models with offline tests and A/B trials while fine-tuning with Python and vLLM.
Build and deploy production AI systems and LLM workflows for banking, including credit risk and compliance, using Python, vLLM, and fine-tuning techniques.
Lead product strategy for NVIDIA’s AI inference tools and SDKs, collaborating with developers to optimize GenAI deployments on GPUs.
Build and optimize distributed AI inference systems in Rust and Python, contributing to NVIDIA’s open-source Dynamo platform for scalable LLM serving on Kubernetes.
Build and optimize CUDA-based deep learning systems, designing custom kernels and distributed AI pipelines to maximize hardware performance for emerging AI workloads.
Develop and optimize CUDA-based deep learning systems, designing custom kernels and distributed AI pipelines to maximize GPU performance for training and inference workloads.
Build and operate ML infrastructure for drug-discovery models, deploying GPU-backed services, LLMs, and agentic workflows on AWS/Kubernetes while ensuring reliability, observability, and lifecycle management.
What you'll do: Build and ship LLM systems and workflows to production, where real bankers and customers use them Learn to evaluate AI properly: offline evals, A/B tests, live monitoring Work hands-on with Python,…
What you'll do: Own production AI systems and LLM workflows end to end: design, build, deploy, monitor Build the evaluation layer that decides what ships: offline evals, A/B tests, live monitoring Optimize…
About the Team The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation…
Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI About the Role Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI…
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset,…
Stage en cybersécurité offensive pour concevoir une doctrine d'audit et de tests d'intrusion assistés par IA générative, incluant un POC et un playbook pour industrialiser les missions Red Team.
Lead a team to build and deploy large language model applications, fine-tune models, and create agentic AI systems for mission-critical government use cases.
Build and deploy AI/ML systems for government missions, including LLM-powered workflows and agent-based automation in secure environments.
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