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The Core Infrastructure Compute team is responsible for managing and maintaining enterprise compute inventory, integrating and consolidating data from multiple sources, and ensuring data accuracy, consistency, and…
What you will do We are hiring a Senior Data Scientist to play a key role in building our Agentic AI Platform — a system of autonomous, tool-using AI agents that plan, reason, and execute complex business workflows…
Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities…
Archangel Autonomy is hiring a Forward Deployed Software Engineer in Syracuse, NY to adapt and deploy vision and language AI models for compute-constrained, field environments at the tactical edge. The role involves hands-on Python/Linux work with LLMs, RAG, Docker, and PyTorch, plus up to 30% travel to customer sites to build and troubleshoot systems in the field.
Builds both the frontend (ReactJS/TypeScript) and backend (Python FastAPI/Flask) of Gen AI applications — including RAG pipelines, agentic workflows, and cloud AI integrations on AWS, Azure, or GCP — taking them from POC through hardened production within NCS's Forward Deployed Engineering team in Singapore.
Full stack developer at NCS (Singtel Group) in Singapore, building end-to-end web applications — UIs, APIs/microservices, and data layers — with stacks like Java/Spring Boot, .NET, Python, or Node.js, while using AI coding assistants daily and integrating LLM/GenAI features (RAG, chatbots, agents) into client solutions.
Senior Staff ML Engineer to lead the AI behind Altana Nexus, an agentic platform for global trade: building ingestion-to-decision pipelines over shipments and customs data, fine-tuning and evaluating LLMs, and shipping real-time risk/compliance decisions. Core stack is Python/PyTorch with LLM tooling (RAG, agents, vLLM, LangGraph) on cloud data infrastructure.
Lead the AI behind Altana Nexus, an agentic platform for global trade: drive architecture and build ingestion-to-decision ML pipelines and LLM agents that turn shipments, customs filings and trade documents into real-time risk, classification and compliance decisions. Core stack is PyTorch, the Python ML ecosystem, and production LLM techniques (RAG, SFT/DPO/RL, evals).
Build and deploy AI/ML models and GenAI assistants using Python, LLMs, and vector databases; develop APIs and frontend interfaces to integrate AI solutions into products.
Builds and maintains production-grade AI solutions on Azure for Pentland Brands — intelligent agents, generative AI apps, and ML pipelines — while also handling BAU support for production APIs and the Azure platform (App Service, Azure SQL, Storage, SFTP). Core stack: Python, .NET/C#, SQL, LLMs/RAG, and agent frameworks like LangChain/LangGraph.
Builds secure, production-grade generative AI applications for U.S. federal programs using agentic workflows, RAG, and cloud AI services like AWS Bedrock and Azure OpenAI.
Мы строим платформу LLM‑инференса, обслуживающую как внутренние, так и продакшен-сервисы. Наша миссия — обеспечить стабильный, масштабируемый и экономичный сервинг больших языковых моделей. Мы ищем инженера, который…
Мы в hh создаем продукты и AI-ассистентов для работодателей и соискателей на базе генеративных технологий. Уже сейчас мы используем LLM-модели для генерации текстов, ведения диалогов, классификации и анализа вакансий и…
Designs, builds, and deploys end-to-end generative AI applications for enterprise use cases — LLM integration, RAG pipelines, and AI agents — using Python/FastAPI backends, React/Angular frontends, vector databases, and cloud platforms like Azure, AWS, or GCP. Owns the full lifecycle from solution design to production support.
Builds and optimizes a high-concurrency recommendation system for a crypto exchange, focusing on real-time feature engineering, vector retrieval, and low-latency model inference to personalize user experiences at scale.
Job Posting Title: Data Engineer II Req ID: 10162609 Job Description: Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and…
The Rice University Department of Computer Science and Department of Materials Science and NanoEngineering are seeking a Data Scientist to build and operate the data infrastructure for READINESS, a new $20 million…
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