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This role involves designing and building Python-based automation tools and AI-enabled services to streamline the quantitative model lifecycle for market and credit risk. The developer will work in a cross-functional team to integrate LLMs and data pipelines into production-grade risk technology systems.
Leads a team that designs and enforces data-quality standards for Ukraine’s national statistical platform, including automated testing of ETL pipelines, data models, and BI dashboards.
The Machine Learning Engineer will design, develop, and deploy scalable ML models for Capital Markets applications using Python, PySpark, and various ML frameworks. The role involves managing the full ML lifecycle, including pipeline development, model optimization, and production integration.
The Lead ML/AI Platform Engineer will own the end-to-end machine learning infrastructure, including training, model serving, and integration with Java microservices. The role focuses on driving the company's GenAI and agentic workflow strategy using AWS-based tools and open-source ML frameworks.
The Senior Data Analytics & Data Visualization Analyst will translate business needs into actionable insights by developing executive dashboards and performing ad-hoc analyses. The role requires strong proficiency in SQL, data visualization tools like Power BI or Tableau, and advanced Excel to support decision-making processes.
About Gen: Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial…
Deploy Fundamental's NEXUS Large Tabular Model into production for Houston-based Oil & Gas enterprise customers, performing end-to-end ML work including benchmarking against XGBoost/LightGBM, data engineering, feature engineering, and last-mile integration (VPC, on-prem, air-gapped).
This Data Scientist role involves building data pipelines, developing machine learning models, and managing the data lifecycle to support business intelligence initiatives. The position requires proficiency in Python, SQL, and Big Data frameworks within an insurance environment.
The Senior Data Engineer will design, build, and industrialize scalable data pipelines using Python, Pandas, and NumPy. The role focuses on transforming analytical prototypes into production-ready solutions using DevOps practices, CI/CD, and cloud infrastructure.
Designs and deploys reinforcement learning models to personalize marketing campaigns for global brands using Python, TensorFlow, and SQL.
Designs and implements AI/ML-powered technical solutions for customers, focusing on scalable data pipelines, cloud platforms, and production-grade ML models using Python, Spark, and cloud services.
Step into a career with ASM, where cutting edge technology meets collaborative culture. For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With…
¡Hola! ¿No sabe con seguridad qué habilidades necesitará para esta oportunidad? Simplemente lea la descripción completa a continuación para obtener una idea clara de los requisitos del candidato. Somos una empresa…
In a few words Se anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura. Position: Data Engineer MLE Location: Madrid (Chamberí area).…
Product analyst improving Yandex's internal performance-review platform by building analytical reports and dashboards from employee lifecycle data, using SQL, Python (pandas, NumPy), and BI tools.
Навыки: Python, Git, Docker, SQL. Квалификация: Senior. Специализации: ML разработчик. Роль: ML-инженер на создание рекомендательной системы Мы — холдинг, который создаёт сервисы нового уровня для крупных игроков…
About Paytm Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with…
В Центре робототехники Сбера мы обучаем модели, которые должны управлять роботами в сложных реальных условиях. Для этого мало просто собрать большое количество данных: нужно понимать, какие записи полезны, где в них…
The Data Annotation Specialist evaluates and debugs AI model outputs for coding and data science tasks to improve model performance. This is a part-time, remote independent contractor role requiring proficiency in Python, SQL, and data analysis.
Data Scientist leading machine learning projects for credit risk scorecards (origination, credit limits, collections) with full-cycle model development using SQL, Python, and ML libraries like XGBoost and scikit-learn.
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