Position: ML Engineer with Python knowledge
Company: Rails Reactor
Experience required: 3y
English level: upper

Requirements:
— 3+ years of Python engineering and experience in research and development of machine learning and deep learning technologies for real-world products
— Experience of deploying and maintaining machine learning models in production
— Experience with time series analysis
— Experience writing, maintainable, testable, production-grade Python code
— Understanding of different machine learning and deep learning algorithm families and their tradeoffs
— Experience with deep learning libraries and frameworks (Scikit-learn, XGBoost, TensorFlow, Keras, PyTorch, etc.)
— Good knowledge of ML/DL theoretical underpinnings
— Team-player with strong interpersonal skills

Will be a plus:
— Experience of deploying and maintaining machine learning data pipelines in production
— Airflow experience will be a big plus
— Experience with large-scale machine learning (100GB+ datasets)
— Competitive machine learning experience (e.g. Kaggle) could be a plus

We offer multiple benefits, that include:
— Challenging work in an international professional environment
— The long-standing team as this is for a long term project
— Competitive salary
— Flexible work-from-home & remote work policy
— Mastering English language with a native speaker
— 40-hours working week with flexible working hours
— PE accounting and support
— 20 paid vacation days per year
— 14 paid sick leaves per year
— Collaborative friendly team environment

Responsibilities:
— Build, maintain, and improve our price large-scale forecasting algorithms and their underlying systems from scratch. Currently, we are in the process of building a new set of services for our new e-commerce analysis platform built on top of AWS/MWS
— Implement end-to-end solutions for batch and real-time algorithms
— Build tooling around monitoring, logging, automated testing, and A/B testing
— Collaborate with your peers and other teams to teach, learn and execute efficiently
— Contribute to improving our processes and engineering culture

About the project:
Thrasio is one of the fastest-growing acquirers of Amazon third-party FBA brands. Amazon has become the most ubiquitous part of the modern shopping experience and our company is positioned to be a leader in this vibrant and evolving marketplace.
Thrasio was established in 2018 with a clear mission: to become the largest, most profitable seller on Amazon. Since then, our growth has been dramatic; we have over $100MM in committed capital, with an impressive group of investors supporting our success.