Senior Python Engineer

October 31, 2024

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Logo of Greenscreens.ai

Greenscreens.ai

Greenscreens. ai is a company that offers a dynamic pricing infrastructure specifically for the logistics industry. By optimizing and enriching both historical and real-time market data, Greenscreens. ai predicts buy rates and sell prices that are significantly more accurate than traditional methods. This empowers logistics service providers (LSPs) to increase their profit per transaction and the volume per representative. Established in 2020 by a team with extensive experience in the supply chain sector, Greenscreens. ai is dedicated to leveraging sophisticated data analytics to enhance pricing accuracy in freight operations.

Transportation Management β€’ Data Science β€’ Predictive Pricing β€’ Productivity β€’ Brokerage Software

πŸ“‹ Description

β€’ Greenscreens.ai offers cutting-edge, ML-based predictive freight pricing solutions. β€’ Seeking a Python professional with an interest in machine learning. β€’ Develop and maintain an advanced codebase for data processing, model training, and more. β€’ Contribute significantly to the evolution of our products and services. β€’ Opportunity to make a meaningful impact on logistics technology.

🎯 Requirements

β€’ Python. Preferable experience - data processing applications, machine learning pipelines β€’ NumPy, Pandas β€’ Unit testing, integration testing and Test Driven Development β€’ SQL β€’ CI/CD pipelines and version control systems β€’ Docker β€’ Russian (C1) and English (B2) β€’ Highly Desirable - machine learning libraries β€’ AWS S3, Amazon Redshift, PostgreSQL β€’ Connexion / aiohttp / FastAPI / Flask β€’ Cython, Numba β€’ Kubernetes, Elastic, Grafana β€’ Basics of Java

πŸ–οΈ Benefits

β€’ Remote Work: Ability to work from anywhere in the world or in our office in Vilnius. β€’ Options Program: Participate in our options program, allowing you to share in the growth and success of our startup. β€’ Annual private health insurance allowance β€’ PTO: Up to four weeks of fully paid leave per calendar year

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