np. Python, Warszawa, Startup

Data Science Engineer

Warszawa, Gdańsk
zł 15000 — 20000
Brutto / Miesiąc / B2B
Data Science

Quantum is a global technology partner delivering high-end software products that address real-world problems. We advance emerging technologies for outside-the-box solutions powered by AI, ML CV, GIS, Blockchain, MLOps, and more.

🔥🔥🔥 Quantum expands the team in Poland and has brilliant opportunities for Data Science Engineers

If you want to work on areas related to #datascience, and solving real-world challenges with innovative technologies, apply for the vacancy below. 

⚙️ Must have skills

  • At least three years of commercial experience in DS.
  • Strong knowledge of linear algebra, calculus, statistics, and probability theory.
  • Knowledge and experience with algorithms and data structures.
  • Experience with Machine Learning libraries (NumPy, SciPy, Pandas, ScikitLearn).
  • Experience with at least one of the Deep Learning frameworks (Tensorflow, Keras, PyTorch).
  • Knowledge of modern Neural Networks architectures (DNN, CNN, LSTM, etc.).
  • Experience in classical Computer Vision algorithms.
  • Experience in Natural Language Processing.
  • Experience with SQL.
  • Strong knowledge of OOP.
  • At least an Upper-Intermediate level of English.

⚙️ Nice to have skills

  • Experience with production ML/DL frameworks (OpenVino, TensorRT, etc.).
  • Docker practical experience.
  • Basic understanding of Big Data concepts.
  • Experience with Cloud Computing Platforms (AWS, GCloud, Azure).
  • Participation in Kaggle competitions.

⚙️ You will be working on full-cycle data science projects. Your tasks will include

  • Data Analysis and data preparation.
  • Development of NLP/Deep Learning / Machine Learning / Computer Vision solutions. Developing ML models and deploying them to production. 
  • Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains.

⚙️ We offer

  • Delivering high-end software projects that address real-world problems.
  • Surrounding experts who are ready to move forward professionally.
  • Professional growth plan. 
  • Taking ownership of R&D and socially significant projects.
  • Evolving professionally with team leader support.
  • Participation in worldwide tech conferences and competitions.
  • Taking part in regular educational activities.
  • Being a part of a multicultural company with a fun and lighthearted atmosphere.
  • Staying in control of your life, working from anywhere with flexible working hours.
  • Paid vacation and sick leave days.

Join our team. Make a difference. 

50 - 100
Big Data, Data Science, Blockchain, Agriculture, Medtech/Healthcare

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