Innovative Machine Learning Engineer Opportunity

1 tydzień temu


Warszawa, Mazovia, Polska Allegro Pełny etat

We are seeking a talented Machine Learning Engineer to join our team at Allegro. As a member of our crew, you will be responsible for the deployment and maintenance of Allegro Ads's ML models/algorithms.

About the Role

This is an exciting opportunity to work on real-world challenges in e-commerce, leveraging your skills in Python, data analysis, and machine learning. You will design, develop, optimize, and maintain data and machine learning training pipelines.

Responsibilities
  • Collaborate with Data Scientists and Software Engineers to deliver high-quality machine learning solutions
  • Participate in production-running model management, monitoring, and tuning
  • Learn and apply best MLOps practices

We are looking for individuals who are passionate about practical applications of ML, have decent analytical skills, and know SQL. If you are curious, eager to learn new things, and not afraid to challenge the status quo, we want to hear from you.

What We Offer
  • A dynamic work environment with opportunities to learn from incredibly smart and talented people
  • Mentorship and support from your buddy throughout your entire program
  • A supportive, inclusive culture that fosters personal growth, career development, and meaningful connections with colleagues
  • A wide selection of fringe benefits in a cafeteria plan
  • The necessary tools for work

At Allegro, we value working together and tackling challenges as a team. Our offices are well-located, with fully equipped kitchens and bicycle parking facilities. We use cutting-edge technologies like Python, GCP (Big Query, Composer, Vertex AI, Dataproc, Looker Studio), PySpark, Pandas, and PyTorch/TensorFlow.

Why Work with Us?
  • Our IT team consists of over 2500 members who share their knowledge at conferences and events
  • We organize Allegro Tech events and participate in community activities
  • We focus on development and innovation, offering hackathons, internal conferences, and budget for training and study aids


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