…designing, training, and scaling deep learning models, with at least 3+ years focused deeply on training Large Language Models (LLMs) or Vision-Language Models…

…Architecture and development of modern inference runtimes and execution stacks, covering frameworks like Llama.cpp, vLLM , PyTorch , WinML , DXCGC, and TensorRT-RTX across LLMs…

…cloud platforms, solution architecture, or startup technical engagement. Strong understanding of generative AI, deep learning, machine learning, model lifecycle, inference serving, model optimization, distributed…

…We are looking for a Senior Systems Engineer to help build that layer. This is a deeply hands-on individual contributor role for someone…

…machine learning services, and frameworks. - Strong track record of working with machine learning systems and/or platforms. - Experience in serving LLMs using inference engines…

…a Senior Research Scientist to lead fine-tuning, post-training, model-steerability, and reinforcement learning for the next generation of DeepL's LLM-based…

…NICE TO HAVE - Experience with AI infrastructure, LLM serving, or machine learning platforms. - Experience working with multiple model providers such as OpenAI, Anthropic, Azure…

…The ideal candidate will have a strong background in LLM model architectures, model performance optimizations, and inference techniques, such as delivering high-performance models…

…multi-agent analytics system, agentic knowledge representation and management, graph neural networks, reinforcement learning, causal inference, optimization, and LLM-based forecasting models) to build…

…GPU-powered deep learning helped ignite the era of modern AI, establishing GPUs as the foundation of intelligent applications across productivity, gaming, and creative…

…Technical Background: - Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped) - Working knowledge of or experience with modern AI: LLMs…

…Consultant Machine Learning & Knowledge Graph Engineer on our growing and dynamic team in Round Rock, Texas. What you’ll achieve Lead the architecture, development…

…architecture and implementation of lighthouse ML and LLM-powered solutions • Design and implement highly scalable and reliable data processing pipelines and deploy model inference…

…Technical Background: - Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped) - Working knowledge of or experience with modern AI: LLMs…

…Machine Learning and LLMs A solid understanding of classical ML, and LLM fundamentals — knowledgeable in transformer architectures, attention mechanisms, and tokenization principles. You understand…

…semantic IDs, contrastive learning, and reusable representations used across the bank - Real-time and continual learning: low-latency inference and models that adapt over…

…develop, simulate, and/or validate systems-level software, AI hardware, architecture, deep learning algorithms, and AI solutions while ensuring system-level requirements and standards…

…architectures. * Architect end-to-end ML pipelines for large-scale deep learning models, including data preprocessing, distributed training, model optimization, and real-time inference…

…Deep expertise in modern LLM architectures, agentic AI, retrieval systems, semantic search, vector databases, embedding models, knowledge graphs, and multi-stage retrieval and ranking…

…AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. SSAs work with customers…

…Strong understanding of modern AI software stacks, including deep learning frameworks, inference engines, and AI developer workflows. Excellent communication, organizational, and cross-functional leadership…

…image processing, optical flow, object tracking/registration, generative models, or modern deep learning architectures. Experience with NLP, LLMs, or vision-language models is a…

…Familiarity with model-serving stacks (vLLM, TensorRT-LLM, llm-d, SGLang) and the kernels that dominate their inference cost. Strong communicator comfortable collaborating with…

…You aren't just building a feature; you are architecting the systems that allow customers to run complex inference and AI agents directly on…

…AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. SSAs work with customers…