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Data Scientist building and deploying ML models on large internal and external datasets for analytics, anti-fraud, and monetization at Avito's Data Gathering team. Core stack: Python, CatBoost, PyTorch, Pandas, NumPy, scikit-learn, Docker, SQL/NoSQL.
Наш продукт — единая точка входа для рекламодателей, которая обеспечивает гибкое управление рекламой на всех цифровых площадках сети X5. На сегодняшний день платформа имеет доступ к аудитории в 24 млн. человек,…
Builds and deploys end-to-end AI/ML models (forecasting, classification, LLMs) for clients, owning data, methodology, and production pipelines while mentoring junior scientists.
Builds AI-driven automation frameworks and agentic workflows to solve business challenges, integrating solutions into SIXT’s tech ecosystem. Designs scalable AI systems, collaborates with stakeholders, and ensures global performance.
Designs and deploys secure, AI-enabled data pipelines and ML services for defense missions, using Python, Spark, and cloud-native tools to transform raw data into actionable insights.
АО «ВИМ Инвестиции» — признанный лидер на российском рынке управления инвестиционными фондами. Мы создаем передовые финансовые продукты, помогая крупным частным клиентам и корпорациям эффективно управлять капиталом и…
Build high-performance trading systems and analytical tools in Python for internal use, collaborating closely with traders and researchers to develop scalable applications and data-driven solutions.
Мы создаем основу для безопасного и эффективного использования ИИ в Банке. Наша команда разрабатывает мультиагентную систему для автономного мониторинга всех ИИ-агентов Банка в промышленной эксплуатации. Это не просто…
The researcher will develop and implement quantitative investment strategies for global equities by building machine learning models and analyzing large financial datasets. The role involves collaborating with portfolio managers to improve alpha signals and refine proprietary research systems.
This Data Engineer role involves modernizing a banking group's AWS Data Platform to support AI and generative AI initiatives. The consultant will focus on architecture, pipeline industrialization, and CI/CD processes within a large-scale data environment.
Build and deploy AI solutions on Databricks and Azure, covering the full ML chain from data to monitoring with a focus on cost-efficient, production-grade systems.
Role: GenAI Lead Engineer Experience: 8+ years total (with significant hands-on GenAI / LLM work) Job Overview: We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the…
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design,…
Data Engineer at Allianz Austria designing data architectures and building ETL/ELT pipelines using PySpark, Databricks, and Azure to support insurance processes.
Senior Insight Analyst building analytics pipelines, dashboards, and data-driven solutions using SQL, Databricks/Spark, Python, and Tableau or Power BI for a UK SaaS integration and analytics platform.
Senior Data Scientist building and deploying production ML models and GenAI agentic workflows for Grab's financial services lending products in Singapore, using Python, Spark, and frameworks like LangGraph.
Builds predictive and prescriptive models (e.g., churn prediction, player lifetime value) using ML and statistical techniques to optimize casino gaming strategies, fraud detection, and player engagement. Works with behavioral data to drive promotions and ensure compliance.
Position Summary Join our AI team as an Intermediate AI Engineer, where you'll build and deploy AI applications, agents, and automation solutions that solve real business problems. You'll work closely with…
Build, deploy, and operate AI/ML solutions across a multi-cloud government environment (AWS, Azure, GCP, OCI), including ML pipelines, model serving, data engineering workflows, and production monitoring for a national security contractor.
The Machine Learning / Federated-Learning Engineer will design and implement distributed model training and adaptation workflows for federal government projects. The role involves building ML pipelines, fine-tuning models, and integrating AI solutions within secure, controlled environments using Python and frameworks like PyTorch or TensorFlow.
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