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Principal AI Full-Stack Engineer builds and operates agentic AI systems for insurance products, spanning LLM inference chains, full-stack features, and production infrastructure.
Build and optimize large language models for healthcare applications using fine-tuning, RAG pipelines, and production deployment in a collaborative AI team.
Design and implement end-to-end AI solutions using Python, PySpark, Databricks, Postgres and open-source LLMs like Qwen, building data pipelines, RAG systems and AI agents for enterprise clients.
Build and fine-tune large language models for Avito’s products, optimizing training pipelines and inference speed for production-scale NLP systems.
Build and deploy large language models and deep-learning systems to power search, recommendations, and personalization for Instacart’s grocery marketplace.
Research and develop efficient on-device AI inference systems, optimizing models and hardware-software co-design for Qualcomm’s low-power AI accelerators.
Центр Исследований занимается созданием SoTA технологий искусственного интеллекта для анализа финансовых данных и их применения для AI-трансформации Блока Риски. Наша задача разработать и обучить мультимодальную…
Разработчик поддерживает и развивает высоконагруженную LLM-платформу на .NET, Python и React, оптимизируя инференс, PostgreSQL и GPU-инфраструктуру для обработки текста, изображений и аудио.
Lead a team to build enterprise-scale generative AI and agentic systems using LLMs, RAG, and multimodal pipelines for Mastercard’s Business & Market Insights group.
Principal AI/ML Research Engineer leads applied research in generative AI, deep learning, and Transformers to build Payment Foundation Models for commerce and fintech challenges, driving novel architectures from prototype to production.
Builds and shares tutorials, workshops, and code samples to teach developers how to integrate AWS generative AI tools like Amazon Q and Bedrock into their workflows.
Builds and optimizes multilingual speech-to-text models for on-device use, focusing on compression, loanword handling, and evaluation across languages for a government security mission.
Build and deploy large-scale machine learning models and AI agents to optimize Micron’s semiconductor manufacturing workflows using distributed training and GPU optimization techniques.
Builds and optimizes generative AI models and agentic workflows using fine-tuning, RAG, and hybrid architectures for low-latency applications.
Build and deploy generative AI applications using LLMs, RAG, and frameworks like LangChain; fine-tune models and optimize chatbots for clients.
Build and deploy ML systems for search, chatbots, and LLM-powered features that power a large real-estate platform across Latin America.
Build and deploy ML systems for search, chatbots, and pricing using Python and deep learning; experiment with LLMs and generative AI to enhance real-estate platforms.
Build and deploy LLM-powered conversational recommendation agents using RAG and Python to personalize content and services across Sber’s ecosystem.
Design and deploy enterprise-grade AI systems—from LLMs to robotics—using Python, PyTorch, and MLOps, ensuring scalable, secure, and commercially viable solutions.
Red-team adversarial ML engineer who probes AI models, agents, and pipelines for security flaws using jailbreaks, prompt injection, and data poisoning to harden next-gen AI systems.
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