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Senior Machine Learning Engineer

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.

Recommended background:

  • 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

The ideal fit has…

  • 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 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
  • Cozy fully equipped office space in the city center

Responsibilities:

  • Owning the full Data Science life-cycle from conception to prototyping, testing, deploying, and measuring its overall business value
  • 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.

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.

INTERESTED? LET'S GET IN TOUCH!

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