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Senior client-facing role designing and delivering AI data solutions for leading GenAI companies, focusing on labeling, evaluation, and synthetic data pipelines using Python and LLM workflows.
Build and standardize clinical data pipelines for a universal AI foundation model in biology, mapping messy real-world data to ontologies and enforcing QC for AI-ready datasets.
Bridge data engineering and quantitative research by preparing, validating, and delivering clean research-ready datasets and features for ML models, using Python, SQL, and LLM-based workflows at a systematic investment firm.
Senior Data Scientist focused on AI Quality & Evaluation, building evaluation frameworks, golden datasets, and LLM-as-a-Judge systems for a healthcare voice-AI company using Python, NLP, and speech technologies.
Джи Эф Си – это foodtech компания, которая занимается дистрибьюцией продуктов питания в сегмент HoReCa, а также разрабатывает IT решения для взаимодействия с этим сегментом. Компания существует с 2004 года,…
Coches.net, Motos.net and Milanuncios.com are among the leading online marketplaces in Spain, connecting millions of buyers and sellers every month. We're looking for an exceptional Data Analyst to help us…
בנק דיסקונט מגייס Data Scientist מנוסה למחלקת ניהול מוצרי כרטיסי אשראי ואמצעי תשלום. התפקיד כולל שימוש מתקדם בדאטה ופיתוח מודלים מורכבים לחיזוי התנהגות לקוחות, זיהוי דפוסי שימוש, התאמה אישית של הצעות ערך, ניתוח מגמות…
Senior Machine Learning Engineer designs, trains, and deploys ML models for payment and business challenges using Python, PySpark, and Azure Databricks in a fintech environment.
The Data Analyst will join the Revenue Intelligence team to monitor financial performance, build predictive models, and develop anomaly detection systems for an e-commerce platform. The role involves using SQL and Python to perform causal inference and translate complex data into actionable insights for senior leadership.
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9…
Обязанности: • заниматься построением моделей чувствительности, склонности к продуктам банка, прогнозирования различных характеристик клиентов • разрабатывать пайплайны для обработки данных с использованием LLM •…
This role involves extracting, integrating, and analyzing large-scale customs data to support risk assessment and reporting. The analyst will use Python, SQL, and Power BI to build predictive models, create dashboards, and optimize data workflows within the European Commission's analytical environments.
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 Data Analyst will ensure data reliability, identify market trends, and design dashboards to support sales strategy at a telecommunications company. The role involves cleaning, organizing, and interpreting large volumes of data using Python and data analysis tools.
Intern Data Analyst building and validating pricing models for Sberbank’s AI-driven personalization system using SQL, Python (Pandas/Numpy), and Excel.
Навыки: Apache Superset. Квалификация: Middle. Специализации: BI-разработчик. Основные задачи: Сбор и анализ требований заказчиков к аналитическим дашбордам Разработка требований к данным, необходимых для наполнения…
Economics/finance analyst in Sberbank's think-tank building multi-agent Gen AI systems for intelligence and research. Day-to-day involves prototyping LLM-based solutions in Python, financial modeling, industry foresight, and preparing reports for top management.
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,…
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