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The MLOps Engineer will manage the end-to-end lifecycle of Large Language Models, including fine-tuning, data pipeline development, and production deployment on AWS. The role focuses on building scalable AI infrastructure using tools like Hugging Face, Docker, and Kubernetes.
Зарплата: 1500–2000 USD (до вычета налогов) Responsibilities: — Design, build, and improve production NLP/LLM systems, including RAG, search, AI agents, document intelligence, and multilingual NLP. — Build retrieval…
Мы разрабатываем цифровые инструменты, которые упрощают работу врачей, помогая принимать более точные и быстрые решения. Мы убеждены, что технологии должны приносить пользу и служить инструментом для улучшения жизни.…
Build the AI intelligence layer (EMMA orchestration system) for Niural's payroll/HR platform, shipping production LLM features including agent workflows, RAG pipelines, and document extraction on payroll and compliance data using Python.
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an…
Build and improve Exotel’s real-time voice AI product, running end-to-end conversational pipelines with LLMs, ASR/TTS, and fine-tuning to optimize call quality and business metrics.
Мы строим новое AI-направление и создаем команду, которая станет центром компетенций по искусственному интеллекту и будет развивать AI-функциональность сразу в нескольких продуктах компании. Сейчас мы формируем команду…
Senior AI Engineer designing, building, and operating production-grade Generative AI solutions on the Microsoft Azure AI ecosystem—from model selection and RAG architecture through deployment, MLOps, security, and governance.
Principal AI Full-Stack Engineer at Peak3 building and operating agentic AI systems (RAG, multi-agent orchestration, LLM inference chains) for insurance SaaS products, shipping full-stack features from model to UI using Python, TypeScript, React/Next.js, and Kubernetes.
ML Engineer designing data-to-presentation pipelines, experimenting with LLMs and multimodal models, prototyping services with backend teams, and defining generation quality metrics using Python, PyTorch, and GenAI technologies.
Providence is seeking an exceptional Principal Cybersecurity Architect to lead the research, development, and deployment of Small Language Models (SLMs) specialized for healthcare and cybersecurity applications. This…
We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your…
At Penguin Solutions (Nasdaq: PENG) – The AI Factory Platform Company – we’re building a team of innovators who thrive on collaboration, creativity, and the opportunity to help shape the future of AI. As part of the AI…
Зарплата: до 350000 RUR (до вычета налогов) Чем предстоит заниматься: R&D и пайплайны: Проектировать архитектуру преобразования входных данных в структуру презентаций (секции, слайды, текст, визуал). GenAI и LLM:…
We are looking for a Senior AI/ML Engineer to join our engineering team and work on challenging AI/ML projects for international clients. This role is a great fit for an experienced engineer who combines strong Machine…
Навыки: Kubernetes, Apache Airflow, Redis, Prometheus, LLM, NLP, A/B тестирование, Python. Специализации: ML разработчик. Обязанности: Разработка ИИ ассистентов, функциональных агентов в рамках проверки PoC для ИИ…
Build and deploy trustworthy, multi-agent AI systems that analyze sports performance data to provide calibrated, escalation-aware recommendations for coaches and athletes, using Python, Go, and AWS.
Senior Forward Deployed Software Engineer on ServiceNow's Applied AI team, building and deploying production LLM-powered applications end-to-end for strategic enterprise customers in London, spanning backend services, orchestration pipelines, and front-end integrations.
Build and scale dunnhumby’s Enterprise AI Platform, designing production-grade AI systems including RAG, agentic workflows, and LLM-powered services using Python, LangChain, and cloud-native tools.
Команда развивает AI-трансформацию блока «Финансы». Наши решения работают с задачами ценообразования на портфельном и индивидуальном уровне, единых трансфертных ставок банка, бизнес-планирования и других финансовых…
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