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Lead a team of data scientists building AI-driven predictive models and statistical analyses to guide Klaviyo’s sales and customer lifecycle strategies in a fast-moving SaaS environment.
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,…
Build end-to-end AI tools for internal teams: from data pipelines and LLM logic to backend, UI, and deployment, using modern AI stacks and coding assistants.
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.
The Machine Learning Specialist will lead the development, governance, and lifecycle of agricultural data models using satellite imagery and ML to provide intelligence for insurers and lenders. This role involves building scalable MLOps pipelines on AWS and mentoring a technical team to ensure model accuracy and reproducibility.
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.
The Machine Learning Engineer will build and maintain data pipelines on Databricks and productionize traditional machine learning models like propensity and segmentation. The role requires a hybrid presence in Oak Brook, IL, and focuses on MLOps, data quality, and model deployment.
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…
Мы строим банк как современный технологический продукт, где ключевые решения принимаются на основе данных и моделей машинного обучения. Наша команда разрабатывает и внедряет модели для кредитных продуктов: от…
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 and deploys AI agents and ML models to monitor, explain, and predict failures in Sberbank’s AI services, integrating observability and MLOps tooling.
Position Title: Senior Credit Risk Manager Department: Credit Risk Reports to: Global CTO Location: Remote #APJ #EMEA About FINN FINN is a fintech company building simple and transparent products that improve financial…
Build and deploy agentic and generative AI solutions using Python, LLMs, and ML models to solve real business problems in a cross-functional team.
This role involves developing and deploying advanced AI and machine learning models to drive commercial analytics and business effectiveness within a healthcare context. The analyst will utilize Python, SQL, and Snowflake to process healthcare datasets and provide actionable insights for cross-functional teams.
Build and deploy AI/ML models using healthcare datasets to optimize commercial strategies, patient targeting, and forecasting for a biopharma company.
Senior Data Scientist building and deploying predictive ML models for collections and customer engagement analytics. Day-to-day work involves feature engineering, model training/validation, and production ML pipelines using Python, SQL, and frameworks like XGBoost, LightGBM, and TensorFlow.
Builds AI/ML products for property insights, designing ML pipelines, deploying models, and collaborating with cross-functional teams to develop predictive analytics and digital valuation solutions.
Develops and maintains REST APIs, front-end applications (React/TypeScript/Next.js), and AI-driven systems (LLMops, LangChain) while integrating cloud platforms like Azure and ensuring system reliability through testing and troubleshooting.
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