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Hands-on Quantitative Risk Lead building and deploying production-grade Python microservices for VaR engines, derivatives pricing, and CIRO 5000 regulatory margin models, while managing a small quant team at Wealthsimple.
Senior Software Engineer builds and scales data infrastructure for a space company, focusing on backend systems, data pipelines, and APIs to support mission operations and hardware validation.
Data Engineer building and maintaining data infrastructure, ETL pipelines, and analytics platforms for AI-powered defense and national security products, using Python, SQL, and AWS.
Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation’s interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense…
Senior product analyst at Coral Club, a wellness company with eCommerce and digital products, tracking metrics like retention and ARPU using SQL, Python, and analytics tools.
Senior Backend Engineer building Python/Django services, APIs, and data-driven components with MongoDB and pandas on Azure for an automotive client project.
ENIOR FULLSTACK & AI/ML ENGINEER We're looking for a Senior Fullstack & AI/ML Engineer to implement AI solutions that automate operational business processes. We need someone who can own solutions…
Part-time AI/ML engineer builds, trains, and deploys models using Python and frameworks like TensorFlow/PyTorch to solve government data challenges.
Who We Are Every organization runs on intelligence: years of accumulated knowledge, decisions, and context. As AI takes on more of that work, companies face a choice: rent that intelligence from vendors who keep the…
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…
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