Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, Years of Python development experience, Experience with data processing applications and machine learning pipelines, Familiarity with unit testing and CI/CD processes.

Key responsabilities:

Develop and maintain high-quality Python code

Collaborate with data scientists and ML engineers

Job description

Description

Greenscreens.ai, a pioneering SaaS provider, offers cutting-edge, ML-based predictive freight pricing solutions that are reshaping the Logistics Service Provider market. Launched in 2020, we’ve rapidly achieved triple-digit growth, a testament to our disruptive impact and value delivery within the U.S. freight brokerage sector. Our accolades include winning the inaugural TIA Shark Tank competition at the 2022 Technovations conference and being named a Top Tech Startup at Manifest – Future of Logistics 2023. Backed by leading investors including Tiger Global, and amidst rapid expansion, Greenscreens.ai invites you to join our trailblazing team on a path of innovation and market transformation. Learn more about our journey and product at https://greenscreens.ai.

Job Brief

We are in search of a Python professional with an interest in machine learning to join our dynamic team. Your primary responsibility will be to develop and maintain an advanced codebase for data processing, model training, deployment, testing, and monitoring, thereby contributing significantly to the evolution of our products and services. As a Python Engineer at Greenscreens.ai, you will have the opportunity to make a meaningful impact on the future of logistics technology and shape the direction of our ML-based solutions.

Responsibilities

Design and maintain high-quality Python code for data analysis, machine learning model development and deployment
Collaborate with data scientists and ML engineers to optimize data management and model deployment strategies
Enhance data processing and machine learning pipelines to improve efficiency, scalability and monitoring capabilities
Implement unit testing, integration testing, and Test-Driven Development practices to ensure the reliability and stability of our codebase
Improve monitoring of ML microservices to detect and address performance issues proactively

Requirements

Python. Preferable experience - data processing applications, machine learning pipelines
NumPy, Pandas
Unit testing, integration testing and Test Driven Development
SQL
CI/CD pipelines and version control systems
Docker
Russian (C1) and English (B2)

Desirable Technical Skills

Highly Desirable - machine learning libraries
AWS S3, Amazon Redshift, PostgreSQL
Connexion / aiohttp / FastAPI / Flask
Cython, Numba
Kubernetes, Elastic, Grafana
Basics of Java

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
Years of Python development experience, preferably in data-intensive applications
Participation in any (including pet) machine learning projects and/or collaboration with ML teams will be a competitive edge