بولوز | Boolooz

کامپیوتر، فناوری اطلاعات و اینترنت ۱۱ تا ۵۰ نفر www.boolooz.com

فرصت‌های شغلی ۳

استخدام Python Developer

دسته‌بندی شغلی

وب،‌ برنامه‌نویسی و نرم‌افزار
موقعیت مکانی

تهران ، تهران
نوع همکاری

تمام وقت
حداقل سابقه کار

سه تا شش سال
حقوق

توافقی

شرح موقعیت شغلی

Boolooz is an online two-sided platform for fashion products. On our tech side, we strive to improve the experience and pleasure of purchasing online with AI features. We will be excited to meet and work with you if you want to pursue your career in this field.

Your Main Responsibilities:

Design and develop high-scale AI services that provide output for end-users or other company services.
Build and maintain the data infrastructure, services, and pipelines that make data more accessible to the teams.
Participate in code and design reviews for our ML applications to maintain our high coding standards.
Build and configure multi-tenant machine learning environments on-premise, cloud, or hybrid.
Interact with teams of engineers from multiple domains.
Create, schedule, version, iterate, and monitor data science pipelines.
Design, deploy, and monitor tools such as feature stores, and feature/model drift detectors to support the data science ecosystem.
Maintain the correct operation of the system, looking for improvements in availability and monitoring.
Build a solid engineering foundation within the data science team.
Develop tools to enable the data science teams.

Qualities We Are Looking For:

Bachelor's or master's degree in computer science, natural sciences, mathematics, or equivalent qualification.
3+ years of experience handling machine learning and data pipeline operations.
Solid relational DB skills and SQL experience.
Experience within the Python ecosystem (Pandas, NumPy, Jupyter, etc.).
Experience within Redis, RabbitMQ, and Vectorized DB.
Experience with running Machine Learning Systems in Production.
Experience with ml-ops tools, data engineering, and DevOps.
Experience with at least one CI/CD tool and/or infrastructure as a code tool, e.g. Gitlab.
Experience in application containerization and orchestration tools - Docker, Kubernetes, or cloud equivalent
Excellent coding skills with the attitude of clean, reusable, and well-documented code, reproducibility, and testing.
A willingness to dive deep, experiment rapidly, and get things done.

Benefits and Amenities: