Data Science Engineer
Quantum
Wroclaw, Poland
‎23 godz. temu
source : Just Join IT

NLP (regular)

Data analysis (regular)

Amazon AWS (regular)

Computer Vision (advanced)

SQL (advanced)

Machine Learning (advanced)

Deep Learning (advanced)

Data Science Engineer

Full-Time Remote, Poland

Hi! We are Quantum a global technology company delivering custom data science & AI solutions. Our deep expertise in data analytics and profound software engineering knowledge allows us to create insightful and data-driven software products tailored to various business challenges.

Our Tech Leaders are experts with 20+ years of industry experience as speakers at global events like Nvidia GTC.

Foremost, we offer :

Flexible working hours.

Work from home.

Support from Growth Partner.

Paid days off, vacations, and sick leaves.

Participation in worldwide tech meetups, internal workshops, and paid training seminars.

About the position

We are opening a position for a Data Science Engineer to expand our team. You will

work on data analysis, medicine, and image processing. Also,

you will be able to take ownership of innovative and socially significant projects.

You will be a part of the company and surrounded by experts ready to move

forward professionally.

In this role, you will

  • Working with Data Analysis and Preparation;
  • Development of Deep Learning / Machine Learning / Computer Vision Solutions;
  • Working on full-cycle data science projects. Your tasks will include Data preparation, 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.
  • Skills you'll need to bring

  • At least 3 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 Upper-Intermediate (written and spoken) level of English.
  • As a Plus

  • Participation in Kaggle competitions;
  • 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).
  • STABILITY

    Rest assured that you will always have exciting tasks from our multiple projects.

    CAREER GROWTH

    Evolve professionally with support from a team leader through our knowledge program, various internal workshops, and paid training seminars.

    SPACE FOR YOUR IDEAS

    Take ownership of R&D projects , participate in worldwide tech meetups, and be a champion of global hackathons.

    LIFE BALANCE

    Work from anywhere with flexible working hours.

    SOUL ATMOSPHERE

    Enjoy being part of a multicultural company. Our general meetings are fun and light-hearted, even when discussing serious problems.

    HR is always ready to lend an ear to listen to; our leaders listen to your ideas and have your back.

    INVOLVEMENT IN THE ENVIRONMENT

    Care about our planet. Partake in the CSR and volunteer projects to solve global environmental issues with modern technology.

    Are you looking for a challenge in Big Data projects?

    Apply for our vacancy, and we will submit your CV within 2 business days.

    If you don't receive a confirmation of the application from us, feel free to email our Recruiter at d.serbina quantumobile.com

    Couldn't find a match position?

    See our all open positions on the website .

    Learn more about life in Quantum.

    Visit our website and check our blog on Medium .

    Yes, we have social media. Let's find us

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