Position: Senior Machine Learning Engineer
Company: Proxet
Experience required: 5y
English level: upper

Required skills

We are looking for Senior Machine Learning or Data Science Engineer who will join a fast-growing Thras.io team withing Proxet. You will own the full Data Science life-cycle from conception to prototyping, testing, deploying, and measuring its overall business value.

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 (Prophet, arima, deepar, lstms)
— 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

As 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
— Reinforcement learning or ranking experience

We offer

— 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
— Cozy fully equipped office space in the city center

Responsibilities

— Developing quantitative models, leveraging machine learning and advanced data analysis techniques
— Architecting and building technology platforms for our algorithmic engines to run at scale
— Using data to improve the decision-making of everyone at Thrasio, and ultimately, to enhance the experience of our customers and our suppliers
— Serving as a consultative partner to the marketing and creative teams to understand needs and conduct analyses that will help determine targeting strategy
— Provide technical leadership and strategic initiatives for your team
— Deliver presentations to high-level business stakeholders that tell cohesive, logical stories using data — while this is primarily a technical role, we value the communication of ideas and want to expose data science to the company at large.

Project description

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.