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Mid/Senior Backend/Data Engineer working 100% remotely on an international data management platform, building and evolving backend services, REST APIs, and data processing workflows using Python, Django, MongoDB, pandas, and NumPy.
This is an apprenticeship role for a Data Scientist/AI Engineer to develop machine learning models and predictive solutions within a financial risk department. The position involves the full data science lifecycle, from data exploration and feature engineering to model deployment and monitoring.
Designs and maintains data infrastructure and pipelines to support AI-driven products, curates high-quality datasets, and collaborates with AI engineers and external data providers.
Principal Software Developer in the FinOps team at Zynga designs data models, visualizations, and dashboards to analyze and optimize technology costs across mobile games, using Python, SQL, and Tableau.
Leads a team analyzing user activation, engagement, and profitability for Tabby’s B2C debit financial products, balancing growth with sustainable economics. Uses SQL, Python, and BI tools to drive data-driven decisions across product and business teams.
Мы – Data Science-команда, которая занимается моделированием поведения кредитных портфелей ФЛ. Работаем сразу с несколькими кредитными продуктами: потребительскими кредитами, ипотекой, автокредитами и POS. Наша…
This role involves developing and deploying computer vision and machine learning solutions for industrial inspection, specifically for engine block defect detection. The position focuses on integrating algorithms, optimizing models for Cloud and Edge environments, and building efficient inference pipelines using Python, C++, and various AI frameworks.
You'll join a company where your work has visible impact from day one. You'll work directly with world-class engineers, scientists, aerospace experts and entrepreneurs building technologies that have never…
Grow with us Software Developer Co-op Location: Ottawa, ON. Duration: 8 – 16 months (for co-ops) Start date: January 4th, 2027 Please upload your unofficial transcript when applying. (Use the "Cover…
The MLOps Engineer will work in a hybrid capacity in McLean, VA, to manage machine learning workflows and infrastructure. The role requires proficiency in Python, AWS, Kubernetes, and Spark to support ML tooling and pipeline development.
Задачи: Создание моделей нейронных сетей в задачах Object detection, Instance Segmentation, Classification, Pose Estimation. Проработка сценариев тестирования моделей машинного обучения. Участие в создании инструкций…
Стажер Data Science разрабатывает ML-модели для прогнозирования досрочных погашений кредитных портфелей (потребительские кредиты, ипотека, автокредиты, POS) в Сбербанке. Использует Python, SQL, Spark и классические ML/DL подходы для анализа банковских данных и объяснения результатов бизнесу.
Enterprise Data Analyst building Power BI dashboards, SQL-based data products, and data marts to support a fintech employee financial wellbeing platform.
The Senior Software Engineer, Data Science will design and maintain data pipelines, data lakes, and data products to support Nexthink's cloud intelligence platform. The role involves applying software engineering best practices to data science workflows, mentoring team members, and leveraging AI to enhance data infrastructure.
AI Engineer for a banking client project, building production-ready AI/ML models, data pipelines, and APIs using Python, cloud platforms, and Generative AI/LLM technologies.
ABOUT SINGLESTORE & THE TEAM SingleStore is the Intelligence Platform powering real-time data, analytics, and AI experiences at enterprise scale. Internally, we practice what we preach through our AI &…
Data Scientist builds ML models to assess credit, market, and fraud risks for a major Ukrainian bank, using Python, SQL, and cloud tools like SageMaker.
Anti-fraud analyst investigating fraud cases, modeling scenarios, and improving monitoring algorithms using Python and SQL at Sberbank's Moscow office.
Мы — ООО « Датаномика » , решаем проблемы структурирования разнородных данных, которые сложно поддаются анализу, помогаем среднему и малому бизнесу, банкам, ритейлу использовать данные чеков для оценки конъюнктуры…
A Senior Data Analyst bridges sports business teams and digital data teams, defining key data-driven challenges, conducting advanced analyses, and delivering actionable insights to inform product and commercial decisions for team sports.
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