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Наша команда занимается внедрением AI в процессы Банка в кооперации с коллегами из Казначейства. В процессе работы мы реализуем весь жизненный цикл агента - от сбора требований до внедрения решения в бизнес-процессы.…
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
Company: Marsh McLennan Agency Description: We are seeking a talented individual to join our MMA team at Marsh. This role will be based in Pune/Mumbai/Gurgaon. This is a hybrid role that has a requirement of working at…
Job Description Summary We are looking for a highly skilled Senior Staff AI & Cloud Solution Architect to lead the design and development of scalable AI platforms and intelligent solutions on AWS. This role…
Key Responsibilities 1. Rapid Prototyping & Application Development Build AI applications, copilots, and agentic workflows end-to-end – UI, APIs, business logic, and model integration. Use rapid development tools…
Lead a data-science team to build and deploy ML models that power personalized shopping experiences and recommendation systems for an ecommerce retailer.
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.
Build and deploy generative-AI solutions using LLMs, RAG, and AI agents in Python on AWS, integrating with enterprise systems for a U.S. client.
Builds and deploys LLM/NLP-based AI agents, RAG systems, and GenAI pipelines using Python, FastAPI, and PyTorch for enterprise clients.
Principal AI Engineer designs and owns the shared AI architecture for multi-agent marketing systems, retrieval pipelines, and evaluation frameworks that power SMB-focused products at scale.
Build enterprise-grade GenAI apps in Python: LLMs, RAG pipelines, vector search, and agentic workflows for scalable, AI-powered solutions.
Job Description What is the opportunity? Join RBC as a hands-on technical lead building production-grade GenAI and Agentic AI applications for Cyber, Risk, Regulatory, Control & Security domains. This is an…
Leads AI/ML and generative AI projects, designing RAG pipelines, LLM-based systems, and production-ready models while owning end-to-end delivery, strategy, and cross-functional team leadership.
Job Description We are seeking experienced AI Engineers / Agentic AI Developers to design, develop, and deploy enterprise-grade AI solutions with a focus on Agentic AI , Large Language Models (LLMs) , and…
Senior ML/AI Engineer builds, fine-tunes, and deploys models for classification, retrieval, NLP, and GenAI workflows, using Python, LLMs, RAG, and vector search on Qualcomm chipsets.
Build and deploy generative-AI solutions using LLMs, prompt engineering, fine-tuning, embeddings, and RAG pipelines for enterprise use cases like customer service and document automation.
Build and deploy end-to-end ML and Generative AI solutions for enterprise-scale problems in commercial operations, supply chain, and customer experience using Python, TensorFlow/PyTorch, and LLM frameworks like LangChain.
Lead generative AI and fraud-detection models at a global bank, building LLM apps, prompt engineering, and RAG pipelines to cut fraud losses and false positives.
Build AI-powered automation tools and agentic systems to streamline Apple’s engineering workflows, using Python, LLMs, and modern web frameworks.
Deploy and optimize large language models (LLMs) in production, quantize models, fine-tune with SFT/LoRA/RLHF, and build RAG/agentic pipelines for high-load systems.
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