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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Senior Deep Learning Architect, LLM Inference”. A match may be a passing mention rather than the job itself. Titles only.
275 roles across 313 listings · show every listing · page 4 of 11
…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…
…Strong foundational knowledge of frontier AI SDKs and deep experience deploying or testing agentic/probabilistic software architectures (multi-agent orchestration, tool execution, and probabilistic…
…ML and deep learning foundation, with hands-on experience building enterprise-grade GenAI systems: advanced RAG, multi-agent architectures, and production LLM deployments. You…
…Deep Learning foundation, with hands-on experience building enterprise-grade GenAI systems, e.g. advanced RAG, multi-agent architectures/harnesses, and production LLM evaluations…
…We welcome engineers from mid-level to senior and staff engineers who are eager to learn, collaborate and ship impactful products. What You Will…
…LLM infrastructure, model gateways, inference platforms, or AI developer platforms. AI observability, experimentation, safety, governance, or reliability. Strong understanding of modern AI system architecture…
…Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML…
…Experience architecting or developing large-scale distributed systems for deep learning. Agentic benchmark creation and publications. Knowledge of CPU and/or GPU architecture. GPU…
…Experience architecting AI factories, large GPU clusters, multi-node training environments, production inference platforms Experience deploying LLM training, fine-tuning, RAG, and inference workflows…