Вакансия Data Science Engineer (CV expertise)

Skills

• TensorFlow
• PyTorch
• SQL
• NLP
• OpenVino
• TensorRT
• Docker
• AirSim
• Gazebo
• AWS
• GCP
• Microsoft Azure
• Kaggle
• Computer Vision

Описание вакансии

About the project

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. We focus on Machine Learning, Computer Vision, Deep Learning, GIS, MLOps, Blockchain, and more.
Here at Quantum, we are dedicated to creating state-of-art solutions that effectively address the pressing issues faced by businesses and the world. To date, our team of exceptional people has already helped many organizations globally attain technological leadership.
We constantly discover new ways to solve never-ending business challenges by adopting new technologies, even when there isn’t yet a best practice. If you share our passion for problem-solving and making an impact, join us and enjoy getting to know our wealth of experience!

About the position

Quantum expands the team in Central Europe and has brilliant opportunities for Data Science Engineers with Computer Vision expertise.
If you want to work on areas related to Data Analysis, agritech, image processing, and solving real-world challenges with innovative technologies, apply for the vacancy below.

Must have skills:

• 3+ years of commercial experience as a Data Science Engineer
• Strong knowledge of linear algebra, calculus, statistics, and probability theory
• Knowledge and experience with algorithms and data structures
• Strong experience with Machine Learning
• Expertise in the area of Computer Vision
• Knowledge of modern Neural Networks architectures (DNN, CNN, LSTM, etc.)
• Experience with at least one of the Deep Learning frameworks (Tensorflow, PyTorch)
• Experience with SQL
• Strong knowledge of OOP
• At least an Upper-Intermediate level of English (spoken and written)

Nice to have skills:

• Experience in area of Natural Language Processing
• Experience with production ML/DL frameworks (OpenVino, TensorRT, etc.)
• Docker practical experience
• Working with simulation environment AirSim/Gazebo
• Experience with Cloud Computing Platforms (AWS, GCloud, Azure)
• Participation in Kaggle competitions

Your tasks will include:

• Full-cycle data science projects
• Data analysis and data preparation
• Development and improvement of Computer Vision algorithms for robotic perception
• Development of Machine Learning / Deep Learning solutions, developing models and deploying them to production
• Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains