About the company
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 is expanding the team and has brilliant opportunities for a Senior Data Science Engineer. The client is a technological research company that utilizes proprietary AI-based analysis and language models to provide comprehensive insights into global stocks in all languages. Our mission is to bridge the knowledge gap in the investment world and empower investors of all types to become “super-investors.” Through our generative AI technology implemented into brokerage platforms and other financial institutions’ infrastructures, we offer instant fundamental analyses of global stocks alongside bespoke investment strategies, enabling informed investment decisions for millions of investors worldwide.
Must have skills:
- 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
- Experience in Natural Language Processing, including LLMs
- Experience with Cloud Computing Platforms (AWS, GCloud, Azure)
- Docker practical experience
- Experience with SQL
- Strong knowledge of OOP
- At least an Upper-Intermediate level of English (spoken and written)
Nice to have skills:
- Experience with MLOps solutions
- Basic understanding of Big Data concepts
- Experience in classical Computer Vision algorithms
- Participation in Kaggle competitions
Your tasks will include:
- Full-cycle data science projects
- Data analysis and data preparation
- Development of NLP/Deep Learning / Machine Learning; 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
We offer:
- Delivering high-end software projects that address real-world problems
- Surrounding experts who are ready to move forward professionally
- Professional growth plan and team leader support
- Taking ownership of R&D and socially significant projects
- 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
- Working from anywhere with flexible working hours
- Paid vacation and sick leave days
Join our team. Make a difference.
Take a step towards your data-driven future with Quantum