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.
- 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+).
- 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