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Dans le but d’implémenter des modèles de Machine Learning pour nos clients, Sia recrute un(e) Machine Learning Engineer (MLE) rigoureux(se) et passionné(e) par la donnée, pour accompagner nos clients dans leurs…
Lead a team building ML infrastructure and evaluation pipelines for autonomous-vehicle perception systems, using Python, C++, and distributed frameworks like K8s and Ray.
Senior ML Engineer building a high-performance video analytics system for sports refereeing at Sberbank, focusing on skeleton-based temporal analysis, model optimization, and a Python framework orchestrating 15+ concurrent CV/ML models.
This Data Scientist role focuses on developing computer vision and audio analysis algorithms to automate sports judging. The position involves building models for human motion tracking, rhythm analysis, and spatial analytics using Python, PyTorch, and OpenCV.
The Senior Machine Learning Engineer will build and deploy AI-based solutions for ad creative and campaign performance within Smartly's advertising platform. The role involves working with large-scale datasets, strengthening MLOps infrastructure, and collaborating with cross-functional teams to productionize high-impact ML applications.
We are seeking a Senior Engineering Manager to join our 200+ product development organization and lead our Ad Performance Recommendation team . The team is responsible for developing an innovative AI-powered system…
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…
The Senior Data Scientist will develop and deploy machine learning models and agentic LLM systems to detect and prevent fraud within the Grab ecosystem. This role involves end-to-end model lifecycle management, from research and data orchestration to production deployment and monitoring.
Senior ML Scientist building, fine-tuning, and deploying LLMs and generative AI models for travel-domain applications at Booking.com, using Python, PyTorch, and large-scale ML infrastructure.
Мы специализируемся на создании ML-моделей для анализа оттока клиентов, снижения транзакционной активности и выявления склонностей к различным продуктам. Мы стремимся находить наилучшие решения для бизнеса. Наша…
Build and deploy AI/ML models and LLM-based solutions in Palantir Foundry/AIP, integrating them into enterprise workflows for analytics and automation using Python and ML libraries.
Build and ship production-grade GenAI services like RAG and agentic systems, integrating LLMs via APIs and frameworks such as LangChain, and ensuring reliability and safety in real products.
Design, build, and operate ML and GenAI systems in production for a large European car marketplace using Python, AWS, and MLOps.
Hands-on AI Engineer designing and building production-grade agentic AI workflows, computer vision pipelines, and multimodal systems using LLMs, OpenCV, PyTorch, and cloud platforms at Crewlogix in Lahore.
Привет! Это команда "Анализ спроса", мы занимаемся прогнозированием спроса на десятки миллионов товаров для селлеров, которые продают товары на Ozon. Наш прогноз помогает селлерам планировать, какие товары и в…
Design, build, and manage GenAI platforms for clients using Python, frameworks like LangChain/TensorFlow/PyTorch/FastAPI, and models like GPT/Llama/Claude.
Senior ML engineer builds and optimizes BERT-based text classifiers for product catalogs using Python, PyTorch, and PostgreSQL, with full remote or hybrid options in Moscow.
Запускаем проект по интеллектуальному мониторингу и оптимизации серверной инфраструктуры банка. Основной акцент делаем на поиске аномалий в использовании ресурсов десятков внутренних сервисов. Задача — создать систему,…
About TensorOps TensorOps is a boutique AI consultancy that bridges strategy and execution, we design and ship production-grade AI systems for enterprise clients, from Fortune 500 companies to fast-growing unicorns.…
Build and deploy transformer-based NLP models that auto-code medical claims with sub-second latency, fine-tuning LLMs on clinical notes and claims for revenue cycle management.
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