Senior/Lead Machine Learning Engineer

Job description

Join our team in Warsaw, where we’re collaborating on a cutting-edge fintech venture with a global industry leader. Together with our Partner – Klarna, we’re building an IT hub designed to drive innovation in digital payment solutions. We’re on the lookout for top-tier engineers who thrive in dynamic, forward-thinking environments. Spyrosoft is leading the recruitment process, facilitating a seamless experience for candidates who are ready to shape the future of online shopping and payments.

This opportunity is ideal for engineers who value independence, proactiveness, and flexibility. Our engagement begins with a B2B contract through Spyrosoft, transitioning to a direct contract with our Partner.

We offer a hybrid work model in Warsaw’s vibrant Wola district. English fluency and eligibility to work in Poland are essential, as is the successful completion of a background check to meet the rigorous standards of the financial domain.

Our process:

• CV selection
• Initial recruitment screening
• Technical interview
• Online logic test
• Cultural fit interview

Main responsibilities

The teamwork by developing and maintaining machine learning-based solutions to tackle problems such as

• Matching different merchants to e-commerce products to a unified product
• Categorize e-commerce products by their taxonomy
• Determining if a URL is for a product page or not

A member of the team usually spends time developing data pipelines, experiments with deep learning to improve how the models perform in the real world as well as developers and maintains services that serve the models.

Requirements

• • Core Languages: Python and or rust
  • Frameworks: Tensorflow is used in the team which is the same as PyTorch
  • Tools: Airflow and gitlab
  • Databases: AWS
  • AI: Building machine learning pipelines, applying and developing machine learning models

Nice to Have:

• Awesome to have: experience in deep learning or deep learning academia