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np. Python, Warszawa, Startup

Machine Learning Engineer (EU-based)

location-pointer-icon Europa
Zarchiwizowane
B2B
Other
remote

We are looking for a passionate, high-energy, and proactive Machine Learning Engineer with proven previous experience in NLP and Computer Vision to enhance our Client’s Machine Learning/Deep Learning team. The team works on the AI platform which provides modern enterprises with solutions for processing large and complex documents.

Requirements:

  •  3+ years in a similar role.
  •  Extensive experience with Python and libraries such as Pandas, Scikit-Learn, PyTorch, Hugging Face, MMdetection, and MMClassification.
  •  Knowledge of NLP, Computer Vision, and document information extraction.
  •  Proven experience with data analysis, wrangling, and transformation.
  •  Demonstrated experience in building, training, and optimizing deep learning models to address NLP tasks such as Token Classification and Text Classification using the Hugging Face library.
  •  Demonstrated experience in training Computer Vision models for Image Classification, Object Detection, and Segmentation.
  •  Understanding of key machine learning concepts and metrics, such as F-measure.
  •  Proficient in using Google Colab and Weights & Biases for building and tracking ML experiments.
  •  Familiarity with Git for version control.
  •  Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively.
  •  English proficiency, both written and spoken (B2+).

From when:

  •  July 2024

We offer:

  •  Work in a multinational team and great domain of new experience
  •  This is a 100% remote job or on-sight in our offices during CET office hours
  •  Feel empowered with a friendly team, open-door policy, informal atmosphere within the company, and regular team-building events
  •  The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services
  •  A perfect environment for learning and self-development with allowance for educational material
White Label
Outsource
50 - 100
Założona
2015

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