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Principal engineer optimizing large-language-model inference at a major bank, designing quantization, speculative decoding, and benchmarking strategies to cut cost and latency for production AI workloads.
The Director, APAC AI COE is an executive-level technical leadership and representative role. You will lead an elite, multi-disciplinary R&D engineering squad of Singapore-based Tech FTEs, encompassing engineers,…
The Platform Engineer III will build and maintain AI infrastructure on Google Kubernetes Engine (GKE) to support Generative AI applications. The role involves implementing CI/CD, GitOps, and observability standards while collaborating with data science teams to optimize LLM serving and cloud-native tooling.
At the National Robotics Engineering Center (NREC), it is our engineers and technicians who drive the breakthroughs that define our success. The members of our technical staff collaborate closely with leadership and…
At JPMorganChase, we are building the infrastructure that powers the next generation of enterprise AI — and we need the best minds in LLM inference to help us do it. This is your opportunity to work at the intersection…
Build and deploy agentic AI systems for rare disease research, designing multi-turn LLM workflows that validate structured outputs and log decisions for review by clinicians and researchers.
GalaxEye is seeking a backend engineer to build and maintain ML platforms that process satellite imagery in air-gapped, offline environments. You will design data pipelines and deploy self-hosted ML models to provide geospatial intelligence for defense and intelligence applications.
Senior AI/backend engineer builds and scales Python-based FastAPI services, RAG pipelines, and LLM agent systems on AWS/Azure, with cloud-native tooling and security best practices.
Мы строим систему управления операционными рисками экосистемы Сбера на основе агентного ИИ. Если тебе тесно в роли просто сильного разработчика, а хочется вести за собой команду единомышленников, реализуя проекты…
AI/ML Engineer II 3-8 Years Experience JOB SUMMARY We are seeking a highly capable AI/ML Engineer II to serve as a strong individual contributor within our Artificial Intelligence and Automation team. The ideal…
About the Role VESSL AI의 Backend Software Engineer (Senior)는 GPU 클라우드 플랫폼의 설계와 구현을 리드합니다. VESSL은 여러 데이터센터와 클라우드에 걸쳐 H200·B300부터 GB300 NVL72, Vera Rubin에 이르는 최신 GPU 클러스터를 운영하며, 이를 효과적으로 활용하기 위해 Kubernetes 기반 컨테이너부터 VM,…
About the Role VESSL AI의 Backend Software Engineer 는 GPU 클라우드 플랫폼을 설계하고 구현합니다. VESSL은 여러 데이터센터와 클라우드에 걸쳐 H200·B300부터 GB300 NVL72, Vera Rubin에 이르는 최신 GPU 클러스터를 운영하며, 이를 효과적으로 활용하기 위해 Kubernetes 기반 컨테이너부터 VM, 베어메탈에 이르기까지…
Director-level AI Architect at PwC's Data & Analytics Advisory practice in Bengaluru, designing ML pipelines, LLM serving/GPU infrastructure, and LLMOps solutions for clients using cloud platforms and frameworks like MLflow, DeepSpeed, and LangChain.
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. We…
Optimize LLM/VLM inference performance on NVIDIA GPUs—profiling workloads, building/tuning CUDA kernels, and improving open-source inference engines like TensorRT-LLM and vLLM.
Build NVIDIA NIM's model customization and deployment lifecycle platform—designing fine-tuning pipelines (LoRA, quantization), evaluation harnesses, and compliance/attestation layers on top of LLM serving infrastructure.
Data Scientist building and maintaining enterprise AI infrastructure—agentic AI frameworks, low-latency LLM inference stacks, and MLOps/DevOps pipelines—primarily on AWS for OCBC Bank in Singapore.
OUR VISION EQUS is building the trust infrastructure for personal AI. Our product suite spans a personal AI assistant, a personal data store with per-file, user-controlled access, and a developer toolkit for agent…
The Senior DevOps Engineer will build and maintain the CI/CD, MLOps, and Internal Developer Platform infrastructure to support Bitdeer's AI-operated GPU cloud. This role focuses on automating deployment pipelines, managing Kubernetes-based infrastructure, and ensuring high availability for AI workloads.
Build and maintain the CI/CD, MLOps, and Internal Developer Platform that lets AI teams deploy models and services without opening tickets, using Kubernetes, Terraform, and observability tools.
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